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  1. 1. Introduction/1. Course Outline.mp458.03 MB
  2. 1. Introduction/1. Course Outline.srt7.97 KB
  3. 1. Introduction/2. Join Our Online Classroom!.html2.43 KB
  4. 1. Introduction/3. Exercise Meet The Community.html2.83 KB
  5. 1. Introduction/4. All Course Resources + Notebooks.html1.97 KB
  6. 1. Introduction/4.1 Zero to Mastery TensorFlow Deep Learning on GitHub.html114 bytes
  7. 10. NLP Fundamentals in TensorFlow/1. More Videos Coming Soon!.html41 bytes
  8. 10. NLP Fundamentals in TensorFlow/GetFreeCourses.Co.url116 bytes
  9. 11. Milestone Project 2 SkimLit/1. More Videos Coming Soon!.html41 bytes
  10. 12. Time Series fundamentals in TensorFlow/1. More Videos Coming Soon!.html41 bytes
  11. 13. Milestone Project 3 BitPredict/1. More Videos Coming Soon!.html41 bytes
  12. 14. Passing the TensorFlow Developer Certificate Exam/1. More Videos Coming Soon!.html41 bytes
  13. 15. Where To Go From Here/1. Become An Alumni.html944 bytes
  14. 15. Where To Go From Here/2. LinkedIn Endorsements.html2.05 KB
  15. 15. Where To Go From Here/3. TensorFlow Certificate.html385 bytes
  16. 15. Where To Go From Here/4. Course Review.html176 bytes
  17. 15. Where To Go From Here/5. The Final Challenge.html176 bytes
  18. 16. Appendix Machine Learning Primer/1. Quick Note Upcoming Videos.html706 bytes
  19. 16. Appendix Machine Learning Primer/10. Section Review.mp45.56 MB
  20. 16. Appendix Machine Learning Primer/10. Section Review.srt2.20 KB
  21. 16. Appendix Machine Learning Primer/2. What is Machine Learning.mp428.31 MB
  22. 16. Appendix Machine Learning Primer/2. What is Machine Learning.srt8.95 KB
  23. 16. Appendix Machine Learning Primer/3. AIMachine LearningData Science.mp419.67 MB
  24. 16. Appendix Machine Learning Primer/3. AIMachine LearningData Science.srt6.45 KB
  25. 16. Appendix Machine Learning Primer/4. Exercise Machine Learning Playground.mp442.56 MB
  26. 16. Appendix Machine Learning Primer/4. Exercise Machine Learning Playground.srt8.13 KB
  27. 16. Appendix Machine Learning Primer/4.1 httpsteachablemachine.withgoogle.com.html101 bytes
  28. 16. Appendix Machine Learning Primer/5. How Did We Get Here.mp430.49 MB
  29. 16. Appendix Machine Learning Primer/5. How Did We Get Here.srt7.34 KB
  30. 16. Appendix Machine Learning Primer/6. Exercise YouTube Recommendation Engine.mp419.43 MB
  31. 16. Appendix Machine Learning Primer/6. Exercise YouTube Recommendation Engine.srt5.61 KB
  32. 16. Appendix Machine Learning Primer/6.1 httpsml-playground.com#.html88 bytes
  33. 16. Appendix Machine Learning Primer/7. Types of Machine Learning.mp422.81 MB
  34. 16. Appendix Machine Learning Primer/7. Types of Machine Learning.srt5.51 KB
  35. 16. Appendix Machine Learning Primer/8. Are You Getting It Yet.html160 bytes
  36. 16. Appendix Machine Learning Primer/9. What Is Machine Learning Round 2.mp425.51 MB
  37. 16. Appendix Machine Learning Primer/9. What Is Machine Learning Round 2.srt6.25 KB
  38. 17. Appendix Machine Learning and Data Science Framework/1. Quick Note Upcoming Videos.html706 bytes
  39. 17. Appendix Machine Learning and Data Science Framework/10. Modelling - Picking the Model.mp423.24 MB
  40. 17. Appendix Machine Learning and Data Science Framework/10. Modelling - Picking the Model.srt6.23 KB
  41. 17. Appendix Machine Learning and Data Science Framework/11. Modelling - Tuning.mp415.98 MB
  42. 17. Appendix Machine Learning and Data Science Framework/11. Modelling - Tuning.srt5.09 KB
  43. 17. Appendix Machine Learning and Data Science Framework/12. Modelling - Comparison.mp444.86 MB
  44. 17. Appendix Machine Learning and Data Science Framework/12. Modelling - Comparison.srt13.32 KB
  45. 17. Appendix Machine Learning and Data Science Framework/13. Overfitting and Underfitting Definitions.html1.97 KB
  46. 17. Appendix Machine Learning and Data Science Framework/14. Experimentation.mp421.30 MB
  47. 17. Appendix Machine Learning and Data Science Framework/14. Experimentation.srt5.09 KB
  48. 17. Appendix Machine Learning and Data Science Framework/15. Tools We Will Use.mp427.34 MB
  49. 17. Appendix Machine Learning and Data Science Framework/15. Tools We Will Use.srt6.08 KB
  50. 17. Appendix Machine Learning and Data Science Framework/16. Optional Elements of AI.html975 bytes
  51. 17. Appendix Machine Learning and Data Science Framework/2. Section Overview.mp413.34 MB
  52. 17. Appendix Machine Learning and Data Science Framework/2. Section Overview.srt4.79 KB
  53. 17. Appendix Machine Learning and Data Science Framework/3. Introducing Our Framework.mp411.39 MB
  54. 17. Appendix Machine Learning and Data Science Framework/3. Introducing Our Framework.srt3.70 KB
  55. 17. Appendix Machine Learning and Data Science Framework/4. 6 Step Machine Learning Framework.mp423.45 MB
  56. 17. Appendix Machine Learning and Data Science Framework/4. 6 Step Machine Learning Framework.srt6.86 KB
  57. 17. Appendix Machine Learning and Data Science Framework/4.1 6 Step Guide.html147 bytes
  58. 17. Appendix Machine Learning and Data Science Framework/5. Types of Machine Learning Problems.mp460.46 MB
  59. 17. Appendix Machine Learning and Data Science Framework/5. Types of Machine Learning Problems.srt14.46 KB
  60. 17. Appendix Machine Learning and Data Science Framework/6. Types of Data.mp429.31 MB
  61. 17. Appendix Machine Learning and Data Science Framework/6. Types of Data.srt6.48 KB
  62. 17. Appendix Machine Learning and Data Science Framework/7. Types of Evaluation.mp417.74 MB
  63. 17. Appendix Machine Learning and Data Science Framework/7. Types of Evaluation.srt4.56 KB
  64. 17. Appendix Machine Learning and Data Science Framework/8. Features In Data.mp436.78 MB
  65. 17. Appendix Machine Learning and Data Science Framework/8. Features In Data.srt6.88 KB
  66. 17. Appendix Machine Learning and Data Science Framework/9. Modelling - Splitting Data.mp427.55 MB
  67. 17. Appendix Machine Learning and Data Science Framework/9. Modelling - Splitting Data.srt7.79 KB
  68. 18. Appendix Pandas for Data Analysis/1. Quick Note Upcoming Videos.html706 bytes
  69. 18. Appendix Pandas for Data Analysis/10. Manipulating Data.mp4105.00 MB
  70. 18. Appendix Pandas for Data Analysis/10. Manipulating Data.srt18.56 KB
  71. 18. Appendix Pandas for Data Analysis/10.1 car-sales-missing-data.csv287 bytes
  72. 18. Appendix Pandas for Data Analysis/10.2 httpsjakevdp.github.ioPythonDataScienceHandbook03.00-introduction-to-pandas.html.html146 bytes
  73. 18. Appendix Pandas for Data Analysis/11. Manipulating Data 2.mp486.56 MB
  74. 18. Appendix Pandas for Data Analysis/11. Manipulating Data 2.srt14.82 KB
  75. 18. Appendix Pandas for Data Analysis/11.1 pandas-anatomy-of-a-dataframe.png333.24 KB
  76. 18. Appendix Pandas for Data Analysis/12. Manipulating Data 3.mp491.07 MB
  77. 18. Appendix Pandas for Data Analysis/12. Manipulating Data 3.srt14.00 KB
  78. 18. Appendix Pandas for Data Analysis/12.1 Pandas video notes.html185 bytes
  79. 18. Appendix Pandas for Data Analysis/12.2 Pandas video code.html191 bytes
  80. 18. Appendix Pandas for Data Analysis/13. Assignment Pandas Practice.html2.05 KB
  81. 18. Appendix Pandas for Data Analysis/14. How To Download The Course Assignments.mp466.79 MB
  82. 18. Appendix Pandas for Data Analysis/14. How To Download The Course Assignments.srt11.24 KB
  83. 18. Appendix Pandas for Data Analysis/14.1 Course Notes.html108 bytes
  84. 18. Appendix Pandas for Data Analysis/14.2 httpscolab.research.google.com.html95 bytes
  85. 18. Appendix Pandas for Data Analysis/2. Section Overview.mp410.87 MB
  86. 18. Appendix Pandas for Data Analysis/2. Section Overview.srt3.69 KB
  87. 18. Appendix Pandas for Data Analysis/3. Downloading Workbooks and Assignments.html967 bytes
  88. 18. Appendix Pandas for Data Analysis/4. Pandas Introduction.mp427.46 MB
  89. 18. Appendix Pandas for Data Analysis/4. Pandas Introduction.srt6.91 KB
  90. 18. Appendix Pandas for Data Analysis/4.1 10 Minutes to pandas.html127 bytes
  91. 18. Appendix Pandas for Data Analysis/4.2 Intro to pandas code.html191 bytes
  92. 18. Appendix Pandas for Data Analysis/4.3 Intro to pandas notes.html185 bytes
  93. 18. Appendix Pandas for Data Analysis/5. Series, Data Frames and CSVs.mp495.43 MB
  94. 18. Appendix Pandas for Data Analysis/5. Series, Data Frames and CSVs.srt18.45 KB
  95. 18. Appendix Pandas for Data Analysis/5.1 pandas-anatomy-of-a-dataframe.png333.24 KB
  96. 18. Appendix Pandas for Data Analysis/6. Data from URLs.html1.09 KB
  97. 18. Appendix Pandas for Data Analysis/7. Describing Data with Pandas.mp475.65 MB
  98. 18. Appendix Pandas for Data Analysis/7. Describing Data with Pandas.srt14.22 KB
  99. 18. Appendix Pandas for Data Analysis/8. Selecting and Viewing Data with Pandas.mp472.29 MB
  100. 18. Appendix Pandas for Data Analysis/8. Selecting and Viewing Data with Pandas.srt15.22 KB
  101. 18. Appendix Pandas for Data Analysis/8.1 car-sales.csv369 bytes
  102. 18. Appendix Pandas for Data Analysis/9. Selecting and Viewing Data with Pandas Part 2.mp4106.49 MB
  103. 18. Appendix Pandas for Data Analysis/9. Selecting and Viewing Data with Pandas Part 2.srt18.95 KB
  104. 19. Appendix NumPy/1. Quick Note Upcoming Videos.html706 bytes
  105. 19. Appendix NumPy/10. Manipulating Arrays 2.mp467.91 MB
  106. 19. Appendix NumPy/10. Manipulating Arrays 2.srt12.01 KB
  107. 19. Appendix NumPy/10.1 httpswww.mathsisfun.comdatastandard-deviation.html.html116 bytes
  108. 19. Appendix NumPy/11. Standard Deviation and Variance.mp451.13 MB
  109. 19. Appendix NumPy/11. Standard Deviation and Variance.srt9.81 KB
  110. 19. Appendix NumPy/11.1 httpswww.mathsisfun.comdatastandard-deviation.html.html116 bytes
  111. 19. Appendix NumPy/12. Reshape and Transpose.mp453.57 MB
  112. 19. Appendix NumPy/12. Reshape and Transpose.srt9.68 KB
  113. 19. Appendix NumPy/13. Dot Product vs Element Wise.mp483.80 MB
  114. 19. Appendix NumPy/13. Dot Product vs Element Wise.srt15.89 KB
  115. 19. Appendix NumPy/13.1 httpswww.mathsisfun.comalgebramatrix-multiplying.html.html119 bytes
  116. 19. Appendix NumPy/14. Exercise Nut Butter Store Sales.mp491.27 MB
  117. 19. Appendix NumPy/14. Exercise Nut Butter Store Sales.srt17.41 KB
  118. 19. Appendix NumPy/15. Comparison Operators.mp426.38 MB
  119. 19. Appendix NumPy/15. Comparison Operators.srt5.22 KB
  120. 19. Appendix NumPy/16. Sorting Arrays.mp432.82 MB
  121. 19. Appendix NumPy/16. Sorting Arrays.srt8.95 KB
  122. 19. Appendix NumPy/17. Turn Images Into NumPy Arrays.mp485.98 MB
  123. 19. Appendix NumPy/17. Turn Images Into NumPy Arrays.srt10.60 KB
  124. 19. Appendix NumPy/17.1 numpy-images.zip7.27 MB
  125. 19. Appendix NumPy/17.2 NumPy Video code.html190 bytes
  126. 19. Appendix NumPy/17.3 Section Notes.html184 bytes
  127. 19. Appendix NumPy/18. Assignment NumPy Practice.html2.17 KB
  128. 19. Appendix NumPy/19. Optional Extra NumPy resources.html1.02 KB
  129. 19. Appendix NumPy/2. Section Overview.mp413.36 MB
  130. 19. Appendix NumPy/2. Section Overview.srt3.24 KB
  131. 19. Appendix NumPy/3. NumPy Introduction.mp426.86 MB
  132. 19. Appendix NumPy/3. NumPy Introduction.srt7.60 KB
  133. 19. Appendix NumPy/3.1 httpsnumpy.orgdoc.html83 bytes
  134. 19. Appendix NumPy/3.2 NumPy Video code.html190 bytes
  135. 19. Appendix NumPy/3.3 NumPy Notes.html184 bytes
  136. 19. Appendix NumPy/4. Quick Note Correction In Next Video.html1.25 KB
  137. 19. Appendix NumPy/5. NumPy DataTypes and Attributes.mp478.97 MB
  138. 19. Appendix NumPy/5. NumPy DataTypes and Attributes.srt20.04 KB
  139. 19. Appendix NumPy/6. Creating NumPy Arrays.mp466.84 MB
  140. 19. Appendix NumPy/6. Creating NumPy Arrays.srt12.45 KB
  141. 19. Appendix NumPy/7. NumPy Random Seed.mp451.95 MB
  142. 19. Appendix NumPy/7. NumPy Random Seed.srt10.44 KB
  143. 19. Appendix NumPy/8. Viewing Arrays and Matrices.mp470.66 MB
  144. 19. Appendix NumPy/8. Viewing Arrays and Matrices.srt13.86 KB
  145. 19. Appendix NumPy/9. Manipulating Arrays.mp480.67 MB
  146. 19. Appendix NumPy/9. Manipulating Arrays.srt17.14 KB
  147. 19. Appendix NumPy/9.1 httpswww.mathsisfun.comdatastandard-deviation.html.html116 bytes
  148. 2. Deep Learning and TensorFlow Fundamentals/1. What is deep learning.mp434.17 MB
  149. 2. Deep Learning and TensorFlow Fundamentals/1. What is deep learning.srt6.80 KB
  150. 2. Deep Learning and TensorFlow Fundamentals/1.1 All course materials and links!.html114 bytes
  151. 2. Deep Learning and TensorFlow Fundamentals/10. Creating your first tensors with TensorFlow and tf.constant().mp4134.83 MB
  152. 2. Deep Learning and TensorFlow Fundamentals/10. Creating your first tensors with TensorFlow and tf.constant().srt24.75 KB
  153. 2. Deep Learning and TensorFlow Fundamentals/11. Creating tensors with TensorFlow and tf.Variable().mp470.85 MB
  154. 2. Deep Learning and TensorFlow Fundamentals/11. Creating tensors with TensorFlow and tf.Variable().srt9.90 KB
  155. 2. Deep Learning and TensorFlow Fundamentals/12. Creating random tensors with TensorFlow.mp488.45 MB
  156. 2. Deep Learning and TensorFlow Fundamentals/12. Creating random tensors with TensorFlow.srt13.03 KB
  157. 2. Deep Learning and TensorFlow Fundamentals/13. Shuffling the order of tensors.mp489.86 MB
  158. 2. Deep Learning and TensorFlow Fundamentals/13. Shuffling the order of tensors.srt12.63 KB
  159. 2. Deep Learning and TensorFlow Fundamentals/14. Creating tensors from NumPy arrays.mp4101.34 MB
  160. 2. Deep Learning and TensorFlow Fundamentals/14. Creating tensors from NumPy arrays.srt15.03 KB
  161. 2. Deep Learning and TensorFlow Fundamentals/15. Getting information from your tensors (tensor attributes).mp487.39 MB
  162. 2. Deep Learning and TensorFlow Fundamentals/15. Getting information from your tensors (tensor attributes).srt16.96 KB
  163. 2. Deep Learning and TensorFlow Fundamentals/16. Indexing and expanding tensors.mp486.57 MB
  164. 2. Deep Learning and TensorFlow Fundamentals/16. Indexing and expanding tensors.srt16.96 KB
  165. 2. Deep Learning and TensorFlow Fundamentals/17. Manipulating tensors with basic operations.mp445.22 MB
  166. 2. Deep Learning and TensorFlow Fundamentals/17. Manipulating tensors with basic operations.srt6.95 KB
  167. 2. Deep Learning and TensorFlow Fundamentals/18. Matrix multiplication with tensors part 1.mp4100.85 MB
  168. 2. Deep Learning and TensorFlow Fundamentals/18. Matrix multiplication with tensors part 1.srt15.22 KB
  169. 2. Deep Learning and TensorFlow Fundamentals/19. Matrix multiplication with tensors part 2.mp4107.79 MB
  170. 2. Deep Learning and TensorFlow Fundamentals/19. Matrix multiplication with tensors part 2.srt17.35 KB
  171. 2. Deep Learning and TensorFlow Fundamentals/2. Why use deep learning.mp462.32 MB
  172. 2. Deep Learning and TensorFlow Fundamentals/2. Why use deep learning.srt14.19 KB
  173. 2. Deep Learning and TensorFlow Fundamentals/20. Matrix multiplication with tensors part 3.mp480.62 MB
  174. 2. Deep Learning and TensorFlow Fundamentals/20. Matrix multiplication with tensors part 3.srt13.27 KB
  175. 2. Deep Learning and TensorFlow Fundamentals/21. Changing the datatype of tensors.mp471.39 MB
  176. 2. Deep Learning and TensorFlow Fundamentals/21. Changing the datatype of tensors.srt8.64 KB
  177. 2. Deep Learning and TensorFlow Fundamentals/22. Tensor aggregation (finding the min, max, mean & more).mp489.58 MB
  178. 2. Deep Learning and TensorFlow Fundamentals/22. Tensor aggregation (finding the min, max, mean & more).srt12.88 KB
  179. 2. Deep Learning and TensorFlow Fundamentals/23. Tensor troubleshooting example (updating tensor datatypes).mp469.39 MB
  180. 2. Deep Learning and TensorFlow Fundamentals/23. Tensor troubleshooting example (updating tensor datatypes).srt6.63 KB
  181. 2. Deep Learning and TensorFlow Fundamentals/24. Finding the positional minimum and maximum of a tensor (argmin and argmax).mp496.50 MB
  182. 2. Deep Learning and TensorFlow Fundamentals/24. Finding the positional minimum and maximum of a tensor (argmin and argmax).srt12.38 KB
  183. 2. Deep Learning and TensorFlow Fundamentals/25. Squeezing a tensor (removing all 1-dimension axes).mp430.20 MB
  184. 2. Deep Learning and TensorFlow Fundamentals/25. Squeezing a tensor (removing all 1-dimension axes).srt3.84 KB
  185. 2. Deep Learning and TensorFlow Fundamentals/26. One-hot encoding tensors.mp459.73 MB
  186. 2. Deep Learning and TensorFlow Fundamentals/26. One-hot encoding tensors.srt7.98 KB
  187. 2. Deep Learning and TensorFlow Fundamentals/27. Trying out more tensor math operations.mp455.93 MB
  188. 2. Deep Learning and TensorFlow Fundamentals/27. Trying out more tensor math operations.srt6.23 KB
  189. 2. Deep Learning and TensorFlow Fundamentals/28. Exploring TensorFlow and NumPy's compatibility.mp443.75 MB
  190. 2. Deep Learning and TensorFlow Fundamentals/28. Exploring TensorFlow and NumPy's compatibility.srt7.11 KB
  191. 2. Deep Learning and TensorFlow Fundamentals/29. Making sure our tensor operations run really fast on GPUs.mp4110.91 MB
  192. 2. Deep Learning and TensorFlow Fundamentals/29. Making sure our tensor operations run really fast on GPUs.srt14.45 KB
  193. 2. Deep Learning and TensorFlow Fundamentals/3. What are neural networks.mp463.43 MB
  194. 2. Deep Learning and TensorFlow Fundamentals/3. What are neural networks.srt14.70 KB
  195. 2. Deep Learning and TensorFlow Fundamentals/30. TensorFlow Fundamentals challenge, exercises & extra-curriculum.html1.95 KB
  196. 2. Deep Learning and TensorFlow Fundamentals/31. Python + Machine Learning Monthly.html796 bytes
  197. 2. Deep Learning and TensorFlow Fundamentals/32. LinkedIn Endorsements.html2.05 KB
  198. 2. Deep Learning and TensorFlow Fundamentals/4. What is deep learning already being used for.mp476.21 MB
  199. 2. Deep Learning and TensorFlow Fundamentals/4. What is deep learning already being used for.srt13.48 KB
  200. 2. Deep Learning and TensorFlow Fundamentals/5. What is and why use TensorFlow.mp469.16 MB
  201. 2. Deep Learning and TensorFlow Fundamentals/5. What is and why use TensorFlow.srt11.74 KB
  202. 2. Deep Learning and TensorFlow Fundamentals/6. What is a Tensor.mp427.58 MB
  203. 2. Deep Learning and TensorFlow Fundamentals/6. What is a Tensor.srt4.99 KB
  204. 2. Deep Learning and TensorFlow Fundamentals/7. What we're going to cover throughout the course.mp429.38 MB
  205. 2. Deep Learning and TensorFlow Fundamentals/7. What we're going to cover throughout the course.srt7.23 KB
  206. 2. Deep Learning and TensorFlow Fundamentals/8. How to approach this course.mp426.18 MB
  207. 2. Deep Learning and TensorFlow Fundamentals/8. How to approach this course.srt8.24 KB
  208. 2. Deep Learning and TensorFlow Fundamentals/9. Need A Refresher.html942 bytes
  209. 20. BONUS SECTION/1. Special Bonus Lecture.html3.65 KB
  210. 3. Neural network regression with TensorFlow/1. Introduction to Neural Network Regression with TensorFlow.mp460.06 MB
  211. 3. Neural network regression with TensorFlow/1. Introduction to Neural Network Regression with TensorFlow.srt11.41 KB
  212. 3. Neural network regression with TensorFlow/1.1 All course materials and links (notebooks, code, data, slides) on GitHub.html114 bytes
  213. 3. Neural network regression with TensorFlow/10. Evaluating a TensorFlow model part 2 (the three datasets).mp481.56 MB
  214. 3. Neural network regression with TensorFlow/10. Evaluating a TensorFlow model part 2 (the three datasets).srt14.05 KB
  215. 3. Neural network regression with TensorFlow/11. Evaluating a TensorFlow model part 3 (getting a model summary).mp4192.79 MB
  216. 3. Neural network regression with TensorFlow/11. Evaluating a TensorFlow model part 3 (getting a model summary).srt21.53 KB
  217. 3. Neural network regression with TensorFlow/12. Evaluating a TensorFlow model part 4 (visualising a model's layers).mp470.28 MB
  218. 3. Neural network regression with TensorFlow/12. Evaluating a TensorFlow model part 4 (visualising a model's layers).srt9.23 KB
  219. 3. Neural network regression with TensorFlow/13. Evaluating a TensorFlow model part 5 (visualising a model's predictions).mp478.88 MB
  220. 3. Neural network regression with TensorFlow/13. Evaluating a TensorFlow model part 5 (visualising a model's predictions).srt11.92 KB
  221. 3. Neural network regression with TensorFlow/14. Evaluating a TensorFlow model part 6 (common regression evaluation metrics).mp470.37 MB
  222. 3. Neural network regression with TensorFlow/14. Evaluating a TensorFlow model part 6 (common regression evaluation metrics).srt11.16 KB
  223. 3. Neural network regression with TensorFlow/15. Evaluating a TensorFlow regression model part 7 (mean absolute error).mp456.09 MB
  224. 3. Neural network regression with TensorFlow/15. Evaluating a TensorFlow regression model part 7 (mean absolute error).srt8.10 KB
  225. 3. Neural network regression with TensorFlow/16. Evaluating a TensorFlow regression model part 7 (mean square error).mp432.31 MB
  226. 3. Neural network regression with TensorFlow/16. Evaluating a TensorFlow regression model part 7 (mean square error).srt3.88 KB
  227. 3. Neural network regression with TensorFlow/17. Setting up TensorFlow modelling experiments part 1 (start with a simple model).mp4127.26 MB
  228. 3. Neural network regression with TensorFlow/17. Setting up TensorFlow modelling experiments part 1 (start with a simple model).srt17.44 KB
  229. 3. Neural network regression with TensorFlow/18. Setting up TensorFlow modelling experiments part 2 (increasing complexity).mp495.63 MB
  230. 3. Neural network regression with TensorFlow/18. Setting up TensorFlow modelling experiments part 2 (increasing complexity).srt15.86 KB
  231. 3. Neural network regression with TensorFlow/19. Comparing and tracking your TensorFlow modelling experiments.mp492.25 MB
  232. 3. Neural network regression with TensorFlow/19. Comparing and tracking your TensorFlow modelling experiments.srt13.18 KB
  233. 3. Neural network regression with TensorFlow/2. Inputs and outputs of a neural network regression model.mp457.57 MB
  234. 3. Neural network regression with TensorFlow/2. Inputs and outputs of a neural network regression model.srt13.12 KB
  235. 3. Neural network regression with TensorFlow/20. How to save a TensorFlow model.mp492.29 MB
  236. 3. Neural network regression with TensorFlow/20. How to save a TensorFlow model.srt11.39 KB
  237. 3. Neural network regression with TensorFlow/21. How to load and use a saved TensorFlow model.mp4104.37 MB
  238. 3. Neural network regression with TensorFlow/21. How to load and use a saved TensorFlow model.srt12.81 KB
  239. 3. Neural network regression with TensorFlow/22. (Optional) How to save and download files from Google Colab.mp467.70 MB
  240. 3. Neural network regression with TensorFlow/22. (Optional) How to save and download files from Google Colab.srt7.79 KB
  241. 3. Neural network regression with TensorFlow/23. Putting together what we've learned part 1 (preparing a dataset).mp4143.51 MB
  242. 3. Neural network regression with TensorFlow/23. Putting together what we've learned part 1 (preparing a dataset).srt18.70 KB
  243. 3. Neural network regression with TensorFlow/24. Putting together what we've learned part 2 (building a regression model).mp4121.38 MB
  244. 3. Neural network regression with TensorFlow/24. Putting together what we've learned part 2 (building a regression model).srt17.95 KB
  245. 3. Neural network regression with TensorFlow/25. Putting together what we've learned part 3 (improving our regression model).mp4155.11 MB
  246. 3. Neural network regression with TensorFlow/25. Putting together what we've learned part 3 (improving our regression model).srt18.80 KB
  247. 3. Neural network regression with TensorFlow/26. Preprocessing data with feature scaling part 1 (what is feature scaling).mp492.51 MB
  248. 3. Neural network regression with TensorFlow/26. Preprocessing data with feature scaling part 1 (what is feature scaling).srt13.88 KB
  249. 3. Neural network regression with TensorFlow/27. Preprocessing data with feature scaling part 2 (normalising our data).mp497.18 MB
  250. 3. Neural network regression with TensorFlow/27. Preprocessing data with feature scaling part 2 (normalising our data).srt13.93 KB
  251. 3. Neural network regression with TensorFlow/28. Preprocessing data with feature scaling part 3 (fitting a model on scaled data).mp475.72 MB
  252. 3. Neural network regression with TensorFlow/28. Preprocessing data with feature scaling part 3 (fitting a model on scaled data).srt10.97 KB
  253. 3. Neural network regression with TensorFlow/29. TensorFlow Regression challenge, exercises & extra-curriculum.html1.98 KB
  254. 3. Neural network regression with TensorFlow/3. Anatomy and architecture of a neural network regression model.mp459.00 MB
  255. 3. Neural network regression with TensorFlow/3. Anatomy and architecture of a neural network regression model.srt12.25 KB
  256. 3. Neural network regression with TensorFlow/4. Creating sample regression data (so we can model it).mp490.16 MB
  257. 3. Neural network regression with TensorFlow/4. Creating sample regression data (so we can model it).srt16.12 KB
  258. 3. Neural network regression with TensorFlow/5. The major steps in modelling with TensorFlow.mp4181.81 MB
  259. 3. Neural network regression with TensorFlow/5. The major steps in modelling with TensorFlow.srt25.74 KB
  260. 3. Neural network regression with TensorFlow/6. Steps in improving a model with TensorFlow part 1.mp445.82 MB
  261. 3. Neural network regression with TensorFlow/6. Steps in improving a model with TensorFlow part 1.srt7.62 KB
  262. 3. Neural network regression with TensorFlow/7. Steps in improving a model with TensorFlow part 2.mp490.23 MB
  263. 3. Neural network regression with TensorFlow/7. Steps in improving a model with TensorFlow part 2.srt13.12 KB
  264. 3. Neural network regression with TensorFlow/8. Steps in improving a model with TensorFlow part 3.mp4132.94 MB
  265. 3. Neural network regression with TensorFlow/8. Steps in improving a model with TensorFlow part 3.srt16.84 KB
  266. 3. Neural network regression with TensorFlow/9. Evaluating a TensorFlow model part 1 (visualise, visualise, visualise).mp466.94 MB
  267. 3. Neural network regression with TensorFlow/9. Evaluating a TensorFlow model part 1 (visualise, visualise, visualise).srt9.77 KB
  268. 4. Neural network classification in TensorFlow/1. Introduction to neural network classification in TensorFlow.mp472.81 MB
  269. 4. Neural network classification in TensorFlow/1. Introduction to neural network classification in TensorFlow.srt12.76 KB
  270. 4. Neural network classification in TensorFlow/1.1 All course materials and links (notebooks, code, data, slides) on GitHub.html119 bytes
  271. 4. Neural network classification in TensorFlow/10. Make our poor classification model work for a regression dataset.mp4123.01 MB
  272. 4. Neural network classification in TensorFlow/10. Make our poor classification model work for a regression dataset.srt16.33 KB
  273. 4. Neural network classification in TensorFlow/11. Non-linearity part 1 Straight lines and non-straight lines.mp495.62 MB
  274. 4. Neural network classification in TensorFlow/11. Non-linearity part 1 Straight lines and non-straight lines.srt13.79 KB
  275. 4. Neural network classification in TensorFlow/12. Non-linearity part 2 Building our first neural network with non-linearity.mp459.00 MB
  276. 4. Neural network classification in TensorFlow/12. Non-linearity part 2 Building our first neural network with non-linearity.srt7.58 KB
  277. 4. Neural network classification in TensorFlow/13. Non-linearity part 3 Upgrading our non-linear model with more layers.mp4123.24 MB
  278. 4. Neural network classification in TensorFlow/13. Non-linearity part 3 Upgrading our non-linear model with more layers.srt14.34 KB
  279. 4. Neural network classification in TensorFlow/14. Non-linearity part 4 Modelling our non-linear data once and for all.mp496.62 MB
  280. 4. Neural network classification in TensorFlow/14. Non-linearity part 4 Modelling our non-linear data once and for all.srt11.99 KB
  281. 4. Neural network classification in TensorFlow/15. Non-linearity part 5 Replicating non-linear activation functions from scratch.mp4146.61 MB
  282. 4. Neural network classification in TensorFlow/15. Non-linearity part 5 Replicating non-linear activation functions from scratch.srt18.28 KB
  283. 4. Neural network classification in TensorFlow/16. Getting great results in less time by tweaking the learning rate.mp4136.78 MB
  284. 4. Neural network classification in TensorFlow/16. Getting great results in less time by tweaking the learning rate.srt19.38 KB
  285. 4. Neural network classification in TensorFlow/17. Using the TensorFlow History object to plot a model's loss curves.mp462.12 MB
  286. 4. Neural network classification in TensorFlow/17. Using the TensorFlow History object to plot a model's loss curves.srt8.38 KB
  287. 4. Neural network classification in TensorFlow/18. Using callbacks to find a model's ideal learning rate.mp4155.88 MB
  288. 4. Neural network classification in TensorFlow/18. Using callbacks to find a model's ideal learning rate.srt24.87 KB
  289. 4. Neural network classification in TensorFlow/19. Training and evaluating a model with an ideal learning rate.mp489.01 MB
  290. 4. Neural network classification in TensorFlow/19. Training and evaluating a model with an ideal learning rate.srt11.87 KB
  291. 4. Neural network classification in TensorFlow/2. Example classification problems (and their inputs and outputs).mp450.71 MB
  292. 4. Neural network classification in TensorFlow/2. Example classification problems (and their inputs and outputs).srt9.89 KB
  293. 4. Neural network classification in TensorFlow/20. Introducing more classification evaluation methods.mp442.21 MB
  294. 4. Neural network classification in TensorFlow/20. Introducing more classification evaluation methods.srt8.87 KB
  295. 4. Neural network classification in TensorFlow/21. Finding the accuracy of our classification model.mp434.07 MB
  296. 4. Neural network classification in TensorFlow/21. Finding the accuracy of our classification model.srt5.63 KB
  297. 4. Neural network classification in TensorFlow/22. Creating our first confusion matrix (to see where our model is getting confused).mp465.70 MB
  298. 4. Neural network classification in TensorFlow/22. Creating our first confusion matrix (to see where our model is getting confused).srt11.54 KB
  299. 4. Neural network classification in TensorFlow/23. Making our confusion matrix prettier.mp4114.12 MB
  300. 4. Neural network classification in TensorFlow/23. Making our confusion matrix prettier.srt18.28 KB
  301. 4. Neural network classification in TensorFlow/24. Putting things together with multi-class classification part 1 Getting the data.mp487.22 MB
  302. 4. Neural network classification in TensorFlow/24. Putting things together with multi-class classification part 1 Getting the data.srt13.77 KB
  303. 4. Neural network classification in TensorFlow/25. Multi-class classification part 2 Becoming one with the data.mp448.65 MB
  304. 4. Neural network classification in TensorFlow/25. Multi-class classification part 2 Becoming one with the data.srt9.99 KB
  305. 4. Neural network classification in TensorFlow/26. Multi-class classification part 3 Building a multi-class classification model.mp4142.80 MB
  306. 4. Neural network classification in TensorFlow/26. Multi-class classification part 3 Building a multi-class classification model.srt21.13 KB
  307. 4. Neural network classification in TensorFlow/27. Multi-class classification part 4 Improving performance with normalisation.mp4113.41 MB
  308. 4. Neural network classification in TensorFlow/27. Multi-class classification part 4 Improving performance with normalisation.srt16.21 KB
  309. 4. Neural network classification in TensorFlow/28. Multi-class classification part 5 Comparing normalised and non-normalised data.mp426.77 MB
  310. 4. Neural network classification in TensorFlow/28. Multi-class classification part 5 Comparing normalised and non-normalised data.srt5.44 KB
  311. 4. Neural network classification in TensorFlow/29. Multi-class classification part 6 Finding the ideal learning rate.mp473.34 MB
  312. 4. Neural network classification in TensorFlow/29. Multi-class classification part 6 Finding the ideal learning rate.srt14.91 KB
  313. 4. Neural network classification in TensorFlow/3. Input and output tensors of classification problems.mp451.01 MB
  314. 4. Neural network classification in TensorFlow/3. Input and output tensors of classification problems.srt8.85 KB
  315. 4. Neural network classification in TensorFlow/30. Multi-class classification part 7 Evaluating our model.mp4119.14 MB
  316. 4. Neural network classification in TensorFlow/30. Multi-class classification part 7 Evaluating our model.srt16.96 KB
  317. 4. Neural network classification in TensorFlow/31. Multi-class classification part 8 Creating a confusion matrix.mp440.52 MB
  318. 4. Neural network classification in TensorFlow/31. Multi-class classification part 8 Creating a confusion matrix.srt6.67 KB
  319. 4. Neural network classification in TensorFlow/32. Multi-class classification part 9 Visualising random model predictions.mp465.68 MB
  320. 4. Neural network classification in TensorFlow/32. Multi-class classification part 9 Visualising random model predictions.srt13.52 KB
  321. 4. Neural network classification in TensorFlow/33. What patterns is our model learning.mp4127.96 MB
  322. 4. Neural network classification in TensorFlow/33. What patterns is our model learning.srt20.83 KB
  323. 4. Neural network classification in TensorFlow/34. TensorFlow classification challenge, exercises & extra-curriculum.html2.48 KB
  324. 4. Neural network classification in TensorFlow/4. Typical architecture of neural network classification models with TensorFlow.mp4112.73 MB
  325. 4. Neural network classification in TensorFlow/4. Typical architecture of neural network classification models with TensorFlow.srt14.61 KB
  326. 4. Neural network classification in TensorFlow/5. Creating and viewing classification data to model.mp4106.08 MB
  327. 4. Neural network classification in TensorFlow/5. Creating and viewing classification data to model.srt14.39 KB
  328. 4. Neural network classification in TensorFlow/6. Checking the input and output shapes of our classification data.mp438.15 MB
  329. 4. Neural network classification in TensorFlow/6. Checking the input and output shapes of our classification data.srt6.57 KB
  330. 4. Neural network classification in TensorFlow/7. Building a not very good classification model with TensorFlow.mp4125.29 MB
  331. 4. Neural network classification in TensorFlow/7. Building a not very good classification model with TensorFlow.srt16.03 KB
  332. 4. Neural network classification in TensorFlow/8. Trying to improve our not very good classification model.mp484.29 MB
  333. 4. Neural network classification in TensorFlow/8. Trying to improve our not very good classification model.srt12.67 KB
  334. 4. Neural network classification in TensorFlow/9. Creating a function to view our model's not so good predictions.mp4160.55 MB
  335. 4. Neural network classification in TensorFlow/9. Creating a function to view our model's not so good predictions.srt18.99 KB
  336. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/1. Introduction to Computer Vision with TensorFlow.mp475.01 MB
  337. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/1. Introduction to Computer Vision with TensorFlow.srt15.00 KB
  338. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/1.1 All course materials and links (notebooks, code, data, slides) on GitHub.html0 bytes
  339. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/10. Improving our non-CNN model by adding more layers.mp4106.47 MB
  340. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/10. Improving our non-CNN model by adding more layers.srt13.98 KB
  341. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/11. Breaking our CNN model down part 1 Becoming one with the data.mp490.92 MB
  342. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/11. Breaking our CNN model down part 1 Becoming one with the data.srt13.00 KB
  343. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/12. Breaking our CNN model down part 2 Preparing to load our data.mp4109.48 MB
  344. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/12. Breaking our CNN model down part 2 Preparing to load our data.srt16.51 KB
  345. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/13. Breaking our CNN model down part 3 Loading our data with ImageDataGenerator.mp40 bytes
  346. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/13. Breaking our CNN model down part 3 Loading our data with ImageDataGenerator.srt0 bytes
  347. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/14. Breaking our CNN model down part 4 Building a baseline CNN model.mp485.30 MB
  348. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/14. Breaking our CNN model down part 4 Building a baseline CNN model.srt11.22 KB
  349. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/15. Breaking our CNN model down part 5 Looking inside a Conv2D layer.mp4186.04 MB
  350. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/15. Breaking our CNN model down part 5 Looking inside a Conv2D layer.srt22.79 KB
  351. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/15.1 CNN Explainer website.html102 bytes
  352. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/16. Breaking our CNN model down part 6 Compiling and fitting our baseline CNN.mp40 bytes
  353. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/16. Breaking our CNN model down part 6 Compiling and fitting our baseline CNN.srt0 bytes
  354. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/17. Breaking our CNN model down part 7 Evaluating our CNN's training curves.mp40 bytes
  355. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/17. Breaking our CNN model down part 7 Evaluating our CNN's training curves.srt0 bytes
  356. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/18. Breaking our CNN model down part 8 Reducing overfitting with Max Pooling.mp40 bytes
  357. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/18. Breaking our CNN model down part 8 Reducing overfitting with Max Pooling.srt0 bytes
  358. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/19. Breaking our CNN model down part 9 Reducing overfitting with data augmentation.mp40 bytes
  359. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/19. Breaking our CNN model down part 9 Reducing overfitting with data augmentation.srt0 bytes
  360. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/2. Introduction to Convolutional Neural Networks (CNNs) with TensorFlow.mp476.65 MB
  361. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/2. Introduction to Convolutional Neural Networks (CNNs) with TensorFlow.srt12.11 KB
  362. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/20. Breaking our CNN model down part 10 Visualizing our augmented data.mp4157.62 MB
  363. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/20. Breaking our CNN model down part 10 Visualizing our augmented data.srt21.55 KB
  364. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/21. Breaking our CNN model down part 11 Training a CNN model on augmented data.mp40 bytes
  365. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/21. Breaking our CNN model down part 11 Training a CNN model on augmented data.srt0 bytes
  366. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/22. Breaking our CNN model down part 12 Discovering the power of shuffling data.mp40 bytes
  367. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/22. Breaking our CNN model down part 12 Discovering the power of shuffling data.srt0 bytes
  368. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/23. Breaking our CNN model down part 13 Exploring options to improve our model.mp40 bytes
  369. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/23. Breaking our CNN model down part 13 Exploring options to improve our model.srt0 bytes
  370. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/24. Downloading a custom image to make predictions on.mp453.08 MB
  371. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/24. Downloading a custom image to make predictions on.srt6.93 KB
  372. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/25. Writing a helper function to load and preprocessing custom images.mp4105.15 MB
  373. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/25. Writing a helper function to load and preprocessing custom images.srt13.73 KB
  374. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/26. Making a prediction on a custom image with our trained CNN.mp499.90 MB
  375. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/26. Making a prediction on a custom image with our trained CNN.srt15.46 KB
  376. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/27. Multi-class CNN's part 1 Becoming one with the data.mp4140.19 MB
  377. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/27. Multi-class CNN's part 1 Becoming one with the data.srt22.69 KB
  378. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/28. Multi-class CNN's part 2 Preparing our data (turning it into tensors).mp472.72 MB
  379. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/28. Multi-class CNN's part 2 Preparing our data (turning it into tensors).srt9.95 KB
  380. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/29. Multi-class CNN's part 3 Building a multi-class CNN model.mp489.24 MB
  381. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/29. Multi-class CNN's part 3 Building a multi-class CNN model.srt10.65 KB
  382. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/3. Downloading an image dataset for our first Food Vision model.mp472.94 MB
  383. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/3. Downloading an image dataset for our first Food Vision model.srt10.31 KB
  384. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/30. Multi-class CNN's part 4 Fitting a multi-class CNN model to the data.mp459.66 MB
  385. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/30. Multi-class CNN's part 4 Fitting a multi-class CNN model to the data.srt8.96 KB
  386. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/31. Multi-class CNN's part 5 Evaluating our multi-class CNN model.mp441.05 MB
  387. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/31. Multi-class CNN's part 5 Evaluating our multi-class CNN model.srt6.79 KB
  388. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/32. Multi-class CNN's part 6 Trying to fix overfitting by removing layers.mp4129.83 MB
  389. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/32. Multi-class CNN's part 6 Trying to fix overfitting by removing layers.srt16.43 KB
  390. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/33. Multi-class CNN's part 7 Trying to fix overfitting with data augmentation.mp40 bytes
  391. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/33. Multi-class CNN's part 7 Trying to fix overfitting with data augmentation.srt0 bytes
  392. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/34. Multi-class CNN's part 8 Things you could do to improve your CNN model.mp443.29 MB
  393. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/34. Multi-class CNN's part 8 Things you could do to improve your CNN model.srt6.18 KB
  394. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/35. Multi-class CNN's part 9 Making predictions with our model on custom images.mp40 bytes
  395. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/35. Multi-class CNN's part 9 Making predictions with our model on custom images.srt0 bytes
  396. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/36. Saving and loading our trained CNN model.mp469.28 MB
  397. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/36. Saving and loading our trained CNN model.srt9.07 KB
  398. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/37. TensorFlow computer vision and CNNs challenge, exercises & extra-curriculum.html0 bytes
  399. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/4. Becoming One With Data.mp445.61 MB
  400. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/4. Becoming One With Data.srt6.72 KB
  401. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/5. Becoming One With Data Part 2.mp4104.59 MB
  402. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/5. Becoming One With Data Part 2.srt16.06 KB
  403. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/6. Becoming One With Data Part 3.mp439.89 MB
  404. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/6. Becoming One With Data Part 3.srt6.54 KB
  405. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/7. Building an end to end CNN Model.mp4155.09 MB
  406. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/7. Building an end to end CNN Model.srt26.00 KB
  407. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/8. Using a GPU to run our CNN model 5x faster.mp4114.94 MB
  408. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/8. Using a GPU to run our CNN model 5x faster.srt13.05 KB
  409. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/9. Trying a non-CNN model on our image data.mp4100.56 MB
  410. 5. Computer Vision and Convolutional Neural Networks in TensorFlow/9. Trying a non-CNN model on our image data.srt11.63 KB
  411. 6. Transfer Learning in TensorFlow Part 1 Feature extraction/1. What is and why use transfer learning.mp465.81 MB
  412. 6. Transfer Learning in TensorFlow Part 1 Feature extraction/1. What is and why use transfer learning.srt15.94 KB
  413. 6. Transfer Learning in TensorFlow Part 1 Feature extraction/1.1 All course materials and links (notebooks, code, data, slides) on GitHub.html114 bytes
  414. 6. Transfer Learning in TensorFlow Part 1 Feature extraction/10. Comparing Our Model's Results.mp4143.93 MB
  415. 6. Transfer Learning in TensorFlow Part 1 Feature extraction/10. Comparing Our Model's Results.srt21.56 KB
  416. 6. Transfer Learning in TensorFlow Part 1 Feature extraction/11. TensorFlow Transfer Learning Part 1 challenge, exercises & extra-curriculum.html2.44 KB
  417. 6. Transfer Learning in TensorFlow Part 1 Feature extraction/2. Downloading and preparing data for our first transfer learning model.mp4132.67 MB
  418. 6. Transfer Learning in TensorFlow Part 1 Feature extraction/2. Downloading and preparing data for our first transfer learning model.srt18.11 KB
  419. 6. Transfer Learning in TensorFlow Part 1 Feature extraction/3. Introducing Callbacks in TensorFlow and making a callback to track our models.mp494.89 MB
  420. 6. Transfer Learning in TensorFlow Part 1 Feature extraction/3. Introducing Callbacks in TensorFlow and making a callback to track our models.srt14.26 KB
  421. 6. Transfer Learning in TensorFlow Part 1 Feature extraction/4. Exploring the TensorFlow Hub website for pretrained models.mp4102.96 MB
  422. 6. Transfer Learning in TensorFlow Part 1 Feature extraction/4. Exploring the TensorFlow Hub website for pretrained models.srt14.67 KB
  423. 6. Transfer Learning in TensorFlow Part 1 Feature extraction/5. Building and compiling a TensorFlow Hub feature extraction model.mp4135.63 MB
  424. 6. Transfer Learning in TensorFlow Part 1 Feature extraction/5. Building and compiling a TensorFlow Hub feature extraction model.srt18.91 KB
  425. 6. Transfer Learning in TensorFlow Part 1 Feature extraction/6. Blowing our previous models out of the water with transfer learning.mp499.46 MB
  426. 6. Transfer Learning in TensorFlow Part 1 Feature extraction/6. Blowing our previous models out of the water with transfer learning.srt13.66 KB
  427. 6. Transfer Learning in TensorFlow Part 1 Feature extraction/7. Plotting the loss curves of our ResNet feature extraction model.mp462.09 MB
  428. 6. Transfer Learning in TensorFlow Part 1 Feature extraction/7. Plotting the loss curves of our ResNet feature extraction model.srt10.81 KB
  429. 6. Transfer Learning in TensorFlow Part 1 Feature extraction/8. Building and training a pre-trained EfficientNet model on our data.mp4105.93 MB
  430. 6. Transfer Learning in TensorFlow Part 1 Feature extraction/8. Building and training a pre-trained EfficientNet model on our data.srt14.27 KB
  431. 6. Transfer Learning in TensorFlow Part 1 Feature extraction/9. Different Types of Transfer Learning.mp4110.57 MB
  432. 6. Transfer Learning in TensorFlow Part 1 Feature extraction/9. Different Types of Transfer Learning.srt15.67 KB
  433. 6. Transfer Learning in TensorFlow Part 1 Feature extraction/GetFreeCourses.Co.url116 bytes
  434. 7. Transfer Learning in TensorFlow Part 2 Fine tuning/1. Introduction to Transfer Learning in TensorFlow Part 2 Fine-tuning.mp461.46 MB
  435. 7. Transfer Learning in TensorFlow Part 2 Fine tuning/1. Introduction to Transfer Learning in TensorFlow Part 2 Fine-tuning.srt9.78 KB
  436. 7. Transfer Learning in TensorFlow Part 2 Fine tuning/10. Downloading and preparing the data for Model 1 (1 percent of training data).mp497.80 MB
  437. 7. Transfer Learning in TensorFlow Part 2 Fine tuning/10. Downloading and preparing the data for Model 1 (1 percent of training data).srt12.98 KB
  438. 7. Transfer Learning in TensorFlow Part 2 Fine tuning/11. Building a data augmentation layer to use inside our model.mp4117.46 MB
  439. 7. Transfer Learning in TensorFlow Part 2 Fine tuning/11. Building a data augmentation layer to use inside our model.srt16.15 KB
  440. 7. Transfer Learning in TensorFlow Part 2 Fine tuning/12. Visualising what happens when images pass through our data augmentation layer.mp4119.36 MB
  441. 7. Transfer Learning in TensorFlow Part 2 Fine tuning/12. Visualising what happens when images pass through our data augmentation layer.srt14.40 KB
  442. 7. Transfer Learning in TensorFlow Part 2 Fine tuning/13. Building Model 1 (with a data augmentation layer and 1% of training data).mp4152.95 MB
  443. 7. Transfer Learning in TensorFlow Part 2 Fine tuning/13. Building Model 1 (with a data augmentation layer and 1% of training data).srt22.42 KB
  444. 7. Transfer Learning in TensorFlow Part 2 Fine tuning/14. Building Model 2 (with a data augmentation layer and 10% of training data).mp4159.77 MB
  445. 7. Transfer Learning in TensorFlow Part 2 Fine tuning/14. Building Model 2 (with a data augmentation layer and 10% of training data).srt23.45 KB
  446. 7. Transfer Learning in TensorFlow Part 2 Fine tuning/15. Creating a ModelCheckpoint to save our model's weights during training.mp468.99 MB
  447. 7. Transfer Learning in TensorFlow Part 2 Fine tuning/15. Creating a ModelCheckpoint to save our model's weights during training.srt10.72 KB
  448. 7. Transfer Learning in TensorFlow Part 2 Fine tuning/16. Fitting and evaluating Model 2 (and saving its weights using ModelCheckpoint).mp468.15 MB
  449. 7. Transfer Learning in TensorFlow Part 2 Fine tuning/16. Fitting and evaluating Model 2 (and saving its weights using ModelCheckpoint).srt9.85 KB
  450. 7. Transfer Learning in TensorFlow Part 2 Fine tuning/17. Loading and comparing saved weights to our existing trained Model 2.mp462.67 MB
  451. 7. Transfer Learning in TensorFlow Part 2 Fine tuning/17. Loading and comparing saved weights to our existing trained Model 2.srt9.65 KB
  452. 7. Transfer Learning in TensorFlow Part 2 Fine tuning/18. Preparing Model 3 (our first fine-tuned model).mp4198.23 MB
  453. 7. Transfer Learning in TensorFlow Part 2 Fine tuning/18. Preparing Model 3 (our first fine-tuned model).srt25.90 KB
  454. 7. Transfer Learning in TensorFlow Part 2 Fine tuning/19. Fitting and evaluating Model 3 (our first fine-tuned model).mp469.16 MB
  455. 7. Transfer Learning in TensorFlow Part 2 Fine tuning/19. Fitting and evaluating Model 3 (our first fine-tuned model).srt10.61 KB
  456. 7. Transfer Learning in TensorFlow Part 2 Fine tuning/2. Importing a script full of helper functions (and saving lots of space).mp489.39 MB
  457. 7. Transfer Learning in TensorFlow Part 2 Fine tuning/2. Importing a script full of helper functions (and saving lots of space).srt9.77 KB
  458. 7. Transfer Learning in TensorFlow Part 2 Fine tuning/20. Comparing our model's results before and after fine-tuning.mp484.18 MB
  459. 7. Transfer Learning in TensorFlow Part 2 Fine tuning/20. Comparing our model's results before and after fine-tuning.srt13.82 KB
  460. 7. Transfer Learning in TensorFlow Part 2 Fine tuning/21. Downloading and preparing data for our biggest experiment yet (Model 4).mp456.68 MB
  461. 7. Transfer Learning in TensorFlow Part 2 Fine tuning/21. Downloading and preparing data for our biggest experiment yet (Model 4).srt8.97 KB
  462. 7. Transfer Learning in TensorFlow Part 2 Fine tuning/22. Preparing our final modelling experiment (Model 4).mp496.42 MB
  463. 7. Transfer Learning in TensorFlow Part 2 Fine tuning/22. Preparing our final modelling experiment (Model 4).srt14.88 KB
  464. 7. Transfer Learning in TensorFlow Part 2 Fine tuning/23. Fine-tuning Model 4 on 100% of the training data and evaluating its results.mp496.84 MB
  465. 7. Transfer Learning in TensorFlow Part 2 Fine tuning/23. Fine-tuning Model 4 on 100% of the training data and evaluating its results.srt14.85 KB
  466. 7. Transfer Learning in TensorFlow Part 2 Fine tuning/24. Comparing our modelling experiment results in TensorBoard.mp495.75 MB
  467. 7. Transfer Learning in TensorFlow Part 2 Fine tuning/24. Comparing our modelling experiment results in TensorBoard.srt15.74 KB
  468. 7. Transfer Learning in TensorFlow Part 2 Fine tuning/25. How to view and delete previous TensorBoard experiments.mp421.91 MB
  469. 7. Transfer Learning in TensorFlow Part 2 Fine tuning/25. How to view and delete previous TensorBoard experiments.srt2.81 KB
  470. 7. Transfer Learning in TensorFlow Part 2 Fine tuning/26. Transfer Learning in TensorFlow Part 2 challenge, exercises and extra-curriculum.html2.64 KB
  471. 7. Transfer Learning in TensorFlow Part 2 Fine tuning/3. Downloading and turning our images into a TensorFlow BatchDataset.mp4173.60 MB
  472. 7. Transfer Learning in TensorFlow Part 2 Fine tuning/3. Downloading and turning our images into a TensorFlow BatchDataset.srt22.01 KB
  473. 7. Transfer Learning in TensorFlow Part 2 Fine tuning/4. Discussing the four (actually five) modelling experiments we're running.mp415.87 MB
  474. 7. Transfer Learning in TensorFlow Part 2 Fine tuning/4. Discussing the four (actually five) modelling experiments we're running.srt3.58 KB
  475. 7. Transfer Learning in TensorFlow Part 2 Fine tuning/5. Comparing the TensorFlow Keras Sequential API versus the Functional API.mp426.45 MB
  476. 7. Transfer Learning in TensorFlow Part 2 Fine tuning/5. Comparing the TensorFlow Keras Sequential API versus the Functional API.srt4.03 KB
  477. 7. Transfer Learning in TensorFlow Part 2 Fine tuning/6. Creating our first model with the TensorFlow Keras Functional API.mp4132.18 MB
  478. 7. Transfer Learning in TensorFlow Part 2 Fine tuning/6. Creating our first model with the TensorFlow Keras Functional API.srt15.84 KB
  479. 7. Transfer Learning in TensorFlow Part 2 Fine tuning/7. Compiling and fitting our first Functional API model.mp4132.84 MB
  480. 7. Transfer Learning in TensorFlow Part 2 Fine tuning/7. Compiling and fitting our first Functional API model.srt15.76 KB
  481. 7. Transfer Learning in TensorFlow Part 2 Fine tuning/8. Getting a feature vector from our trained model.mp4147.62 MB
  482. 7. Transfer Learning in TensorFlow Part 2 Fine tuning/8. Getting a feature vector from our trained model.srt17.74 KB
  483. 7. Transfer Learning in TensorFlow Part 2 Fine tuning/9. Drilling into the concept of a feature vector (a learned representation).mp451.50 MB
  484. 7. Transfer Learning in TensorFlow Part 2 Fine tuning/9. Drilling into the concept of a feature vector (a learned representation).srt5.39 KB
  485. 8. Transfer Learning with TensorFlow Part 3 Scaling Up/1. Introduction to Transfer Learning Part 3 Scaling Up.mp441.53 MB
  486. 8. Transfer Learning with TensorFlow Part 3 Scaling Up/1. Introduction to Transfer Learning Part 3 Scaling Up.srt10.12 KB
  487. 8. Transfer Learning with TensorFlow Part 3 Scaling Up/10. Downloading a pretrained model to make and evaluate predictions with.mp478.69 MB
  488. 8. Transfer Learning with TensorFlow Part 3 Scaling Up/10. Downloading a pretrained model to make and evaluate predictions with.srt8.91 KB
  489. 8. Transfer Learning with TensorFlow Part 3 Scaling Up/11. Making predictions with our trained model on 25,250 test samples.mp4115.59 MB
  490. 8. Transfer Learning with TensorFlow Part 3 Scaling Up/11. Making predictions with our trained model on 25,250 test samples.srt16.24 KB
  491. 8. Transfer Learning with TensorFlow Part 3 Scaling Up/12. Unravelling our test dataset for comparing ground truth labels to predictions.mp443.81 MB
  492. 8. Transfer Learning with TensorFlow Part 3 Scaling Up/12. Unravelling our test dataset for comparing ground truth labels to predictions.srt7.72 KB
  493. 8. Transfer Learning with TensorFlow Part 3 Scaling Up/13. Confirming our model's predictions are in the same order as the test labels.mp450.54 MB
  494. 8. Transfer Learning with TensorFlow Part 3 Scaling Up/13. Confirming our model's predictions are in the same order as the test labels.srt6.77 KB
  495. 8. Transfer Learning with TensorFlow Part 3 Scaling Up/14. Creating a confusion matrix for our model's 101 different classes.mp4156.60 MB
  496. 8. Transfer Learning with TensorFlow Part 3 Scaling Up/14. Creating a confusion matrix for our model's 101 different classes.srt17.49 KB
  497. 8. Transfer Learning with TensorFlow Part 3 Scaling Up/15. Evaluating every individual class in our dataset.mp4131.77 MB
  498. 8. Transfer Learning with TensorFlow Part 3 Scaling Up/15. Evaluating every individual class in our dataset.srt19.30 KB
  499. 8. Transfer Learning with TensorFlow Part 3 Scaling Up/16. Plotting our model's F1-scores for each separate class.mp477.94 MB
  500. 8. Transfer Learning with TensorFlow Part 3 Scaling Up/16. Plotting our model's F1-scores for each separate class.srt10.69 KB
  501. 8. Transfer Learning with TensorFlow Part 3 Scaling Up/17. Creating a function to load and prepare images for making predictions.mp4109.54 MB
  502. 8. Transfer Learning with TensorFlow Part 3 Scaling Up/17. Creating a function to load and prepare images for making predictions.srt15.79 KB
  503. 8. Transfer Learning with TensorFlow Part 3 Scaling Up/18. Making predictions on our test images and evaluating them.mp4171.68 MB
  504. 8. Transfer Learning with TensorFlow Part 3 Scaling Up/18. Making predictions on our test images and evaluating them.srt23.48 KB
  505. 8. Transfer Learning with TensorFlow Part 3 Scaling Up/19. Discussing the benefits of finding your model's most wrong predictions.mp459.30 MB
  506. 8. Transfer Learning with TensorFlow Part 3 Scaling Up/19. Discussing the benefits of finding your model's most wrong predictions.srt9.41 KB
  507. 8. Transfer Learning with TensorFlow Part 3 Scaling Up/2. Getting helper functions ready and downloading data to model.mp4131.54 MB
  508. 8. Transfer Learning with TensorFlow Part 3 Scaling Up/2. Getting helper functions ready and downloading data to model.srt17.73 KB
  509. 8. Transfer Learning with TensorFlow Part 3 Scaling Up/20. Writing code to uncover our model's most wrong predictions.mp4109.60 MB
  510. 8. Transfer Learning with TensorFlow Part 3 Scaling Up/20. Writing code to uncover our model's most wrong predictions.srt17.03 KB
  511. 8. Transfer Learning with TensorFlow Part 3 Scaling Up/21. Plotting and visualising the samples our model got most wrong.mp4125.49 MB
  512. 8. Transfer Learning with TensorFlow Part 3 Scaling Up/21. Plotting and visualising the samples our model got most wrong.srt15.45 KB
  513. 8. Transfer Learning with TensorFlow Part 3 Scaling Up/22. Making predictions on and plotting our own custom images.mp4108.30 MB
  514. 8. Transfer Learning with TensorFlow Part 3 Scaling Up/22. Making predictions on and plotting our own custom images.srt14.61 KB
  515. 8. Transfer Learning with TensorFlow Part 3 Scaling Up/23. Transfer Learning in TensorFlow Part 3 challenge, exercises and extra-curriculum.html2.28 KB
  516. 8. Transfer Learning with TensorFlow Part 3 Scaling Up/3. Outlining the model we're going to build and building a ModelCheckpoint callback.mp440.61 MB
  517. 8. Transfer Learning with TensorFlow Part 3 Scaling Up/3. Outlining the model we're going to build and building a ModelCheckpoint callback.srt7.41 KB
  518. 8. Transfer Learning with TensorFlow Part 3 Scaling Up/4. Creating a data augmentation layer to use with our model.mp440.56 MB
  519. 8. Transfer Learning with TensorFlow Part 3 Scaling Up/4. Creating a data augmentation layer to use with our model.srt6.25 KB
  520. 8. Transfer Learning with TensorFlow Part 3 Scaling Up/5. Creating a headless EfficientNetB0 model with data augmentation built in.mp480.41 MB
  521. 8. Transfer Learning with TensorFlow Part 3 Scaling Up/5. Creating a headless EfficientNetB0 model with data augmentation built in.srt13.45 KB
  522. 8. Transfer Learning with TensorFlow Part 3 Scaling Up/6. Fitting and evaluating our biggest transfer learning model yet.mp470.15 MB
  523. 8. Transfer Learning with TensorFlow Part 3 Scaling Up/6. Fitting and evaluating our biggest transfer learning model yet.srt11.43 KB
  524. 8. Transfer Learning with TensorFlow Part 3 Scaling Up/7. Unfreezing some layers in our base model to prepare for fine-tuning.mp4100.07 MB
  525. 8. Transfer Learning with TensorFlow Part 3 Scaling Up/7. Unfreezing some layers in our base model to prepare for fine-tuning.srt16.60 KB
  526. 8. Transfer Learning with TensorFlow Part 3 Scaling Up/8. Fine-tuning our feature extraction model and evaluating its performance.mp466.23 MB
  527. 8. Transfer Learning with TensorFlow Part 3 Scaling Up/8. Fine-tuning our feature extraction model and evaluating its performance.srt11.87 KB
  528. 8. Transfer Learning with TensorFlow Part 3 Scaling Up/9. Saving and loading our trained model.mp457.41 MB
  529. 8. Transfer Learning with TensorFlow Part 3 Scaling Up/9. Saving and loading our trained model.srt8.98 KB
  530. 9. Milestone Project 1 Food Vision Big™/1. Introduction to Milestone Project 1 Food Vision Big™.mp442.32 MB
  531. 9. Milestone Project 1 Food Vision Big™/1. Introduction to Milestone Project 1 Food Vision Big™.srt9.17 KB
  532. 9. Milestone Project 1 Food Vision Big™/10. Turning on mixed precision training with TensorFlow.mp4107.71 MB
  533. 9. Milestone Project 1 Food Vision Big™/10. Turning on mixed precision training with TensorFlow.srt13.89 KB
  534. 9. Milestone Project 1 Food Vision Big™/11. Creating a feature extraction model capable of using mixed precision training.mp4107.92 MB
  535. 9. Milestone Project 1 Food Vision Big™/11. Creating a feature extraction model capable of using mixed precision training.srt17.41 KB
  536. 9. Milestone Project 1 Food Vision Big™/12. Checking to see if our model is using mixed precision training layer by layer.mp487.67 MB
  537. 9. Milestone Project 1 Food Vision Big™/12. Checking to see if our model is using mixed precision training layer by layer.srt10.27 KB
  538. 9. Milestone Project 1 Food Vision Big™/13. Training and evaluating a feature extraction model (Food Vision Big™).mp489.02 MB
  539. 9. Milestone Project 1 Food Vision Big™/13. Training and evaluating a feature extraction model (Food Vision Big™).srt14.12 KB
  540. 9. Milestone Project 1 Food Vision Big™/14. Introducing your Milestone Project 1 challenge build a model to beat DeepFood.mp489.12 MB
  541. 9. Milestone Project 1 Food Vision Big™/14. Introducing your Milestone Project 1 challenge build a model to beat DeepFood.srt11.24 KB
  542. 9. Milestone Project 1 Food Vision Big™/15. Milestone Project 1 Food Vision Big™, exercises and extra-curriculum.html2.32 KB
  543. 9. Milestone Project 1 Food Vision Big™/2. Making sure we have access to the right GPU for mixed precision training.mp488.15 MB
  544. 9. Milestone Project 1 Food Vision Big™/2. Making sure we have access to the right GPU for mixed precision training.srt14.06 KB
  545. 9. Milestone Project 1 Food Vision Big™/3. Getting helper functions ready.mp431.09 MB
  546. 9. Milestone Project 1 Food Vision Big™/3. Getting helper functions ready.srt3.94 KB
  547. 9. Milestone Project 1 Food Vision Big™/4. Introduction to TensorFlow Datasets (TFDS).mp4116.84 MB
  548. 9. Milestone Project 1 Food Vision Big™/4. Introduction to TensorFlow Datasets (TFDS).srt17.62 KB
  549. 9. Milestone Project 1 Food Vision Big™/5. Exploring and becoming one with the data (Food101 from TensorFlow Datasets).mp4116.71 MB
  550. 9. Milestone Project 1 Food Vision Big™/5. Exploring and becoming one with the data (Food101 from TensorFlow Datasets).srt22.34 KB
  551. 9. Milestone Project 1 Food Vision Big™/6. Creating a preprocessing function to prepare our data for modelling.mp4132.19 MB
  552. 9. Milestone Project 1 Food Vision Big™/6. Creating a preprocessing function to prepare our data for modelling.srt18.84 KB
  553. 9. Milestone Project 1 Food Vision Big™/7. Batching and preparing our datasets (to make them run fast).mp4132.24 MB
  554. 9. Milestone Project 1 Food Vision Big™/7. Batching and preparing our datasets (to make them run fast).srt19.22 KB
  555. 9. Milestone Project 1 Food Vision Big™/8. Exploring what happens when we batch and prefetch our data.mp463.82 MB
  556. 9. Milestone Project 1 Food Vision Big™/8. Exploring what happens when we batch and prefetch our data.srt9.41 KB
  557. 9. Milestone Project 1 Food Vision Big™/9. Creating modelling callbacks for our feature extraction model.mp460.79 MB
  558. 9. Milestone Project 1 Food Vision Big™/9. Creating modelling callbacks for our feature extraction model.srt9.84 KB
  559. Download Paid Udemy Courses For Free.url116 bytes
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  561. How you can help GetFreeCourses.Co.txt182 bytes