589689.xyz

Applied Deep Learning The Complete Self-Driving Car Course

  • 收录时间:2019-06-17 10:09:48
  • 文件大小:9GB
  • 下载次数:104
  • 最近下载:2021-01-19 10:06:50
  • 磁力链接:
立即下载 复制链接

文件列表

  1. 14. Behavioural Cloning/11. Generator - Augmentation Techniques.mp4 381MB
  2. 12. Traffic Sign Classification/3. Preprocessing Images.mp4 330MB
  3. 14. Behavioural Cloning/2. Collecting Data.mp4 282MB
  4. 11. Convolutional Neural Networks/8. Code Implementation I.mp4 255MB
  5. 14. Behavioural Cloning/13. Fit Generator.mp4 248MB
  6. 9. Multiclass Classification/4. Implementation.mp4 245MB
  7. 11. Convolutional Neural Networks/3. Convolutional Layer.mp4 230MB
  8. 11. Convolutional Neural Networks/9. Code Implementation II.mp4 213MB
  9. 8. Deep Neural Networks/7. Code Implementation.mp4 204MB
  10. 14. Behavioural Cloning/7. Defining Nvidia Model.mp4 199MB
  11. 10. MNIST Image Recognition/5. Implementation Part 1.mp4 194MB
  12. 7. Keras/4. Keras Models.mp4 175MB
  13. 14. Behavioural Cloning/10. Self Driving Car - Test 1.mp4 166MB
  14. 5. Computer Vision Finding Lane-Lines/10. Optimizing.mp4 165MB
  15. 11. Convolutional Neural Networks/5. Pooling.mp4 162MB
  16. 14. Behavioural Cloning/6. Preprocessing Images.mp4 162MB
  17. 12. Traffic Sign Classification/8. Fit Generator.mp4 160MB
  18. 10. MNIST Image Recognition/6. Implementation Part 2.mp4 156MB
  19. 15. Final Codes & Outputs/13. Simulation Output Results - Test Track.mp4 151MB
  20. 7. Keras/5. Keras - Predictions.mp4 144MB
  21. 9. Multiclass Classification/2. Softmax.mp4 142MB
  22. 5. Computer Vision Finding Lane-Lines/8. Hough Transform.mp4 133MB
  23. 10. MNIST Image Recognition/3. Train & Test.mp4 132MB
  24. 14. Behavioural Cloning/3. Downloading Data.mp4 131MB
  25. 12. Traffic Sign Classification/4. leNet Implementation.mp4 129MB
  26. 13. Polynomial Regression/2. Implementation.mp4 129MB
  27. 8. Deep Neural Networks/3. Architecture.mp4 126MB
  28. 12. Traffic Sign Classification/5. Fine-tuning Model.mp4 117MB
  29. 5. Computer Vision Finding Lane-Lines/9. Hough Transform II.mp4 115MB
  30. 15. Final Codes & Outputs/12. Simulation Output Results - Training Track.mp4 108MB
  31. 14. Behavioural Cloning/9. Flask & Socket.io.mp4 100MB
  32. 4. NumPy Crash Course (Optional)/3. Multidimensional Arrays.mp4 97MB
  33. 14. Behavioural Cloning/12. Batch Generator.mp4 95MB
  34. 5. Computer Vision Finding Lane-Lines/7. Binary Numbers & Bitwise_and.mp4 92MB
  35. 6. Intro to Neural Networks/12. Sigmoid Implementation (Code).mp4 91MB
  36. 11. Convolutional Neural Networks/2. Convolutions & MNIST.mp4 90MB
  37. 8. Deep Neural Networks/4. Feedforward Process.mp4 89MB
  38. 6. Intro to Neural Networks/5. Linear Model.mp4 86MB
  39. 5. Computer Vision Finding Lane-Lines/12. Finding Lanes on Video.mp4 83MB
  40. 4. NumPy Crash Course (Optional)/9. Stacking.mp4 82MB
  41. 6. Intro to Neural Networks/4. Classification.mp4 82MB
  42. 9. Multiclass Classification/3. Cross Entropy.mp4 82MB
  43. 10. MNIST Image Recognition/4. Hyperparameters.mp4 81MB
  44. 4. NumPy Crash Course (Optional)/2. Vector Addition - Arrays vs Lists.mp4 81MB
  45. 11. Convolutional Neural Networks/4. Convolutions II.mp4 80MB
  46. 6. Intro to Neural Networks/8. Project - Initial Stages.mp4 78MB
  47. 11. Convolutional Neural Networks/6. Fully Connected Layer.mp4 78MB
  48. 6. Intro to Neural Networks/18. Gradient Descent (Code).mp4 76MB
  49. 10. MNIST Image Recognition/8. Implementation Part 3.mp4 75MB
  50. 14. Behavioural Cloning/4. Balancing Data.mp4 75MB
  51. 8. Deep Neural Networks/2. Non-Linear Boundaries.mp4 71MB
  52. 10. MNIST Image Recognition/2. MNIST Dataset.mp4 71MB
  53. 14. Behavioural Cloning/5. Training & Validation Split.mp4 66MB
  54. 8. Deep Neural Networks/6. Backpropagation.mp4 65MB
  55. 12. Traffic Sign Classification/7. Testing.mp4 63MB
  56. 6. Intro to Neural Networks/14. Cross Entropy.mp4 63MB
  57. 6. Intro to Neural Networks/11. Sigmoid.mp4 62MB
  58. 6. Intro to Neural Networks/15. Cross Entropy (Code).mp4 61MB
  59. 3. Python Crash Course (Optional)/9. Slicing.mp4 56MB
  60. 8. Deep Neural Networks/5. Error Function.mp4 54MB
  61. 6. Intro to Neural Networks/6. Perceptrons.mp4 51MB
  62. 14. Behavioural Cloning/1. Overview.mp4 50MB
  63. 5. Computer Vision Finding Lane-Lines/6. Region of Interest.mp4 49MB
  64. 4. NumPy Crash Course (Optional)/6. Multidimensional Slicing.mp4 49MB
  65. 3. Python Crash Course (Optional)/21. elif.mp4 49MB
  66. 4. NumPy Crash Course (Optional)/7. Manipulating Array Shapes.mp4 48MB
  67. 5. Computer Vision Finding Lane-Lines/3. Grayscale.mp4 47MB
  68. 3. Python Crash Course (Optional)/13. Common Functions & Methods.mp4 47MB
  69. 6. Intro to Neural Networks/3. Linear Regression.mp4 47MB
  70. 6. Intro to Neural Networks/17. Gradient Descent.mp4 45MB
  71. 5. Computer Vision Finding Lane-Lines/5. Canny Edge Detection.mp4 43MB
  72. 3. Python Crash Course (Optional)/5. String Data Types.mp4 42MB
  73. 2. Installation/3. Jupyter Notebooks.mp4 42MB
  74. 6. Intro to Neural Networks/10. Error Function.mp4 42MB
  75. 1. Introduction/1. Introduction.mp4 40MB
  76. 3. Python Crash Course (Optional)/23. For Loops.mp4 38MB
  77. 6. Intro to Neural Networks/2. Machine Learning.mp4 37MB
  78. 3. Python Crash Course (Optional)/8. Lists.mp4 36MB
  79. 3. Python Crash Course (Optional)/16. Dictionaries.mp4 35MB
  80. 4. NumPy Crash Course (Optional)/8. Matrix Multiplication.mp4 34MB
  81. 3. Python Crash Course (Optional)/11. Mutability.mp4 33MB
  82. 5. Computer Vision Finding Lane-Lines/12.1 test2.mp4.mp4 32MB
  83. 5. Computer Vision Finding Lane-Lines/11.1 test2.mp4.zip/test2.mp4 32MB
  84. 3. Python Crash Course (Optional)/12. Mutability II.mp4 32MB
  85. 3. Python Crash Course (Optional)/29. Functions.mp4 32MB
  86. 5. Computer Vision Finding Lane-Lines/2. Loading Images.mp4 31MB
  87. 5. Computer Vision Finding Lane-Lines/4. Gaussian Blur.mp4 31MB
  88. 3. Python Crash Course (Optional)/22. Complex Comparisons.mp4 30MB
  89. 2. Installation/4. Text Editor.mp4 29MB
  90. 3. Python Crash Course (Optional)/32. Lambda & Higher Order Functions.mp4 28MB
  91. 4. NumPy Crash Course (Optional)/4. One Dimensional Slicing.mp4 28MB
  92. 6. Intro to Neural Networks/1. Overview.mp4 28MB
  93. 3. Python Crash Course (Optional)/3. Variables.mp4 28MB
  94. 3. Python Crash Course (Optional)/20. If, else.mp4 27MB
  95. 2. Installation/2. Anaconda Distribution.mp4 26MB
  96. 3. Python Crash Course (Optional)/2. Arithmetic Operations.mp4 25MB
  97. 6. Intro to Neural Networks/7. Weights.mp4 25MB
  98. 3. Python Crash Course (Optional)/6. Booleans.mp4 24MB
  99. 3. Python Crash Course (Optional)/4. Numeric Data Types.mp4 23MB
  100. 4. NumPy Crash Course (Optional)/5. Reshaping.mp4 23MB
  101. 3. Python Crash Course (Optional)/14. Tuples.mp4 23MB
  102. 7. Keras/2. Intro to Keras.mp4 21MB
  103. 3. Python Crash Course (Optional)/7. Methods.mp4 21MB
  104. 3. Python Crash Course (Optional)/17. Compound Data Structures.mp4 20MB
  105. 3. Python Crash Course (Optional)/25. While Loops.mp4 20MB
  106. 3. Python Crash Course (Optional)/26. Break.mp4 20MB
  107. 3. Python Crash Course (Optional)/15. Sets.mp4 20MB
  108. 3. Python Crash Course (Optional)/31. Doc Strings.mp4 20MB
  109. 14. Behavioural Cloning/15. Outro.mp4 20MB
  110. 6. Intro to Neural Networks/19. Recap.mp4 18MB
  111. 8. Deep Neural Networks/1. Overview.mp4 16MB
  112. 3. Python Crash Course (Optional)/1. Python Crash Course Part 1 - Data Types.mp4 15MB
  113. 3. Python Crash Course (Optional)/24. For Loops II.mp4 15MB
  114. 12. Traffic Sign Classification/1. Overview.mp4 14MB
  115. 3. Python Crash Course (Optional)/10. Membership Operators.mp4 14MB
  116. 3. Python Crash Course (Optional)/30. Scope.mp4 13MB
  117. 3. Python Crash Course (Optional)/19. Part 2 - Control Flow.mp4 11MB
  118. 3. Python Crash Course (Optional)/28. Part 3 - Functions.mp4 11MB
  119. 10. MNIST Image Recognition/1. Overview.mp4 11MB
  120. 4. NumPy Crash Course (Optional)/1. Overview.mp4 11MB
  121. 2. Installation/1. Overview.mp4 10MB
  122. 9. Multiclass Classification/1. Overview.mp4 10MB
  123. 5. Computer Vision Finding Lane-Lines/14. Part 5 - Conclusion.mp4 10MB
  124. 12. Traffic Sign Classification/10. Section 12 - Outro.mp4 10MB
  125. 6. Intro to Neural Networks/21. Part 6 - Conclusion.mp4 10MB
  126. 11. Convolutional Neural Networks/1. Overview.mp4 10MB
  127. 5. Computer Vision Finding Lane-Lines/1. Overview.mp4 9MB
  128. 3. Python Crash Course (Optional)/33. Part 3 - Outro.mp4 9MB
  129. 13. Polynomial Regression/1. Overview.mp4 8MB
  130. 7. Keras/1. Overview.mp4 7MB
  131. 8. Deep Neural Networks/9. Section 8 - Conclusion.mp4 6MB
  132. 10. MNIST Image Recognition/10. Section 10 - Outro.mp4 6MB
  133. 2. Installation/5. Outro.mp4 6MB
  134. 9. Multiclass Classification/6. Section 9 - Outro.mp4 5MB
  135. 13. Polynomial Regression/4. Section 13 - Conclusion.mp4 5MB
  136. 7. Keras/7. Part 7 - Outro.mp4 5MB
  137. 11. Convolutional Neural Networks/11. Section 11 - Conclusion.mp4 5MB
  138. 3. Python Crash Course (Optional)/27. Part 2 - Outro.mp4 4MB
  139. 3. Python Crash Course (Optional)/18. Part 1 - Outro.mp4 4MB
  140. 4. NumPy Crash Course (Optional)/10. Part 4 - Outro.mp4 2MB
  141. 5. Computer Vision Finding Lane-Lines/2.1 test_image.jpg.jpg 758KB
  142. 12. Traffic Sign Classification/3. Preprocessing Images.vtt 43KB
  143. 9. Multiclass Classification/4. Implementation.vtt 35KB
  144. 10. MNIST Image Recognition/5. Implementation Part 1.vtt 34KB
  145. 14. Behavioural Cloning/11. Generator - Augmentation Techniques.vtt 33KB
  146. 11. Convolutional Neural Networks/8. Code Implementation I.vtt 32KB
  147. 8. Deep Neural Networks/7. Code Implementation.vtt 29KB
  148. 11. Convolutional Neural Networks/9. Code Implementation II.vtt 26KB
  149. 14. Behavioural Cloning/7. Defining Nvidia Model.vtt 26KB
  150. 7. Keras/4. Keras Models.vtt 24KB
  151. 12. Traffic Sign Classification/8. Fit Generator.vtt 23KB
  152. 10. MNIST Image Recognition/6. Implementation Part 2.vtt 21KB
  153. 12. Traffic Sign Classification/4. leNet Implementation.vtt 20KB
  154. 7. Keras/5. Keras - Predictions.vtt 20KB
  155. 11. Convolutional Neural Networks/3. Convolutional Layer.vtt 20KB
  156. 14. Behavioural Cloning/2. Collecting Data.vtt 19KB
  157. 14. Behavioural Cloning/13. Fit Generator.vtt 19KB
  158. 14. Behavioural Cloning/6. Preprocessing Images.vtt 18KB
  159. 14. Behavioural Cloning/3. Downloading Data.vtt 17KB
  160. 14. Behavioural Cloning/9. Flask & Socket.io.vtt 16KB
  161. 11. Convolutional Neural Networks/5. Pooling.vtt 16KB
  162. 12. Traffic Sign Classification/5. Fine-tuning Model.vtt 15KB
  163. 13. Polynomial Regression/2. Implementation.vtt 15KB
  164. 5. Computer Vision Finding Lane-Lines/10. Optimizing.vtt 15KB
  165. 9. Multiclass Classification/2. Softmax.vtt 14KB
  166. 14. Behavioural Cloning/10. Self Driving Car - Test 1.vtt 14KB
  167. 10. MNIST Image Recognition/3. Train & Test.vtt 14KB
  168. 5. Computer Vision Finding Lane-Lines/9. Hough Transform II.vtt 14KB
  169. 6. Intro to Neural Networks/12. Sigmoid Implementation (Code).vtt 13KB
  170. 4. NumPy Crash Course (Optional)/9. Stacking.vtt 13KB
  171. 6. Intro to Neural Networks/8. Project - Initial Stages.vtt 13KB
  172. 4. NumPy Crash Course (Optional)/2. Vector Addition - Arrays vs Lists.vtt 13KB
  173. 5. Computer Vision Finding Lane-Lines/8. Hough Transform.vtt 12KB
  174. 4. NumPy Crash Course (Optional)/3. Multidimensional Arrays.vtt 12KB
  175. 8. Deep Neural Networks/3. Architecture.vtt 12KB
  176. 14. Behavioural Cloning/4. Balancing Data.vtt 11KB
  177. 10. MNIST Image Recognition/8. Implementation Part 3.vtt 11KB
  178. 14. Behavioural Cloning/12. Batch Generator.vtt 11KB
  179. 14. Behavioural Cloning/5. Training & Validation Split.vtt 11KB
  180. 9. Multiclass Classification/3. Cross Entropy.vtt 10KB
  181. 5. Computer Vision Finding Lane-Lines/7. Binary Numbers & Bitwise_and.vtt 10KB
  182. 14. Behavioural Cloning/14. Final Source Code.html 10KB
  183. 15. Final Codes & Outputs/11. Code 10 - Behavioural Cloning.html 10KB
  184. 8. Deep Neural Networks/4. Feedforward Process.vtt 10KB
  185. 6. Intro to Neural Networks/18. Gradient Descent (Code).vtt 10KB
  186. 11. Convolutional Neural Networks/4. Convolutions II.vtt 9KB
  187. 6. Intro to Neural Networks/4. Classification.vtt 9KB
  188. 6. Intro to Neural Networks/15. Cross Entropy (Code).vtt 9KB
  189. 4. NumPy Crash Course (Optional)/7. Manipulating Array Shapes.vtt 8KB
  190. 6. Intro to Neural Networks/5. Linear Model.vtt 8KB
  191. 3. Python Crash Course (Optional)/9. Slicing.vtt 8KB
  192. 5. Computer Vision Finding Lane-Lines/6. Region of Interest.vtt 8KB
  193. 6. Intro to Neural Networks/11. Sigmoid.vtt 7KB
  194. 10. MNIST Image Recognition/4. Hyperparameters.vtt 7KB
  195. 4. NumPy Crash Course (Optional)/6. Multidimensional Slicing.vtt 7KB
  196. 6. Intro to Neural Networks/14. Cross Entropy.vtt 7KB
  197. 12. Traffic Sign Classification/9. Final Source Code.html 7KB
  198. 15. Final Codes & Outputs/9. Code 8 - Traffic Sign Classification.html 7KB
  199. 5. Computer Vision Finding Lane-Lines/12. Finding Lanes on Video.vtt 7KB
  200. 11. Convolutional Neural Networks/2. Convolutions & MNIST.vtt 7KB
  201. 3. Python Crash Course (Optional)/13. Common Functions & Methods.vtt 7KB
  202. 11. Convolutional Neural Networks/6. Fully Connected Layer.vtt 7KB
  203. 3. Python Crash Course (Optional)/23. For Loops.vtt 7KB
  204. 8. Deep Neural Networks/6. Backpropagation.vtt 7KB
  205. 3. Python Crash Course (Optional)/21. elif.vtt 7KB
  206. 3. Python Crash Course (Optional)/32. Lambda & Higher Order Functions.vtt 7KB
  207. 12. Traffic Sign Classification/7. Testing.vtt 6KB
  208. 11. Convolutional Neural Networks/7. Starter Code.html 6KB
  209. 2. Installation/3. Jupyter Notebooks.vtt 6KB
  210. 8. Deep Neural Networks/2. Non-Linear Boundaries.vtt 6KB
  211. 10. MNIST Image Recognition/2. MNIST Dataset.vtt 6KB
  212. 3. Python Crash Course (Optional)/5. String Data Types.vtt 6KB
  213. 3. Python Crash Course (Optional)/3. Variables.vtt 6KB
  214. 8. Deep Neural Networks/5. Error Function.vtt 5KB
  215. 3. Python Crash Course (Optional)/8. Lists.vtt 5KB
  216. 3. Python Crash Course (Optional)/29. Functions.vtt 5KB
  217. 15. Final Codes & Outputs/8. Code 7 - Convolutional Neural Networks.html 5KB
  218. 11. Convolutional Neural Networks/10. Final Source Code.html 5KB
  219. 6. Intro to Neural Networks/10. Error Function.vtt 5KB
  220. 3. Python Crash Course (Optional)/2. Arithmetic Operations.vtt 5KB
  221. 5. Computer Vision Finding Lane-Lines/2. Loading Images.vtt 5KB
  222. 6. Intro to Neural Networks/3. Linear Regression.vtt 5KB
  223. 3. Python Crash Course (Optional)/16. Dictionaries.vtt 5KB
  224. 3. Python Crash Course (Optional)/22. Complex Comparisons.vtt 5KB
  225. 5. Computer Vision Finding Lane-Lines/5. Canny Edge Detection.vtt 5KB
  226. 6. Intro to Neural Networks/6. Perceptrons.vtt 5KB
  227. 5. Computer Vision Finding Lane-Lines/3. Grayscale.vtt 5KB
  228. 3. Python Crash Course (Optional)/6. Booleans.vtt 4KB
  229. 3. Python Crash Course (Optional)/20. If, else.vtt 4KB
  230. 4. NumPy Crash Course (Optional)/8. Matrix Multiplication.vtt 4KB
  231. 3. Python Crash Course (Optional)/4. Numeric Data Types.vtt 4KB
  232. 3. Python Crash Course (Optional)/11. Mutability.vtt 4KB
  233. 4. NumPy Crash Course (Optional)/4. One Dimensional Slicing.vtt 4KB
  234. 15. Final Codes & Outputs/7. Code 6 - MNIST Image Recognition.html 4KB
  235. 10. MNIST Image Recognition/9. Final Source Code.html 4KB
  236. 3. Python Crash Course (Optional)/12. Mutability II.vtt 4KB
  237. 4. NumPy Crash Course (Optional)/5. Reshaping.vtt 4KB
  238. 14. Behavioural Cloning/1. Overview.vtt 4KB
  239. 3. Python Crash Course (Optional)/26. Break.vtt 4KB
  240. 6. Intro to Neural Networks/2. Machine Learning.vtt 3KB
  241. 5. Computer Vision Finding Lane-Lines/4. Gaussian Blur.vtt 3KB
  242. 6. Intro to Neural Networks/17. Gradient Descent.vtt 3KB
  243. 3. Python Crash Course (Optional)/14. Tuples.vtt 3KB
  244. 1. Introduction/1. Introduction.vtt 3KB
  245. 2. Installation/4. Text Editor.vtt 3KB
  246. 3. Python Crash Course (Optional)/7. Methods.vtt 3KB
  247. 3. Python Crash Course (Optional)/25. While Loops.vtt 3KB
  248. 3. Python Crash Course (Optional)/24. For Loops II.vtt 3KB
  249. 15. Final Codes & Outputs/2. Code 1 - Computer Vision.html 3KB
  250. 5. Computer Vision Finding Lane-Lines/13. Source Code.html 3KB
  251. 2. Installation/2. Anaconda Distribution.vtt 3KB
  252. 3. Python Crash Course (Optional)/15. Sets.vtt 3KB
  253. 3. Python Crash Course (Optional)/31. Doc Strings.vtt 3KB
  254. 3. Python Crash Course (Optional)/10. Membership Operators.vtt 3KB
  255. 6. Intro to Neural Networks/19. Recap.vtt 3KB
  256. 3. Python Crash Course (Optional)/17. Compound Data Structures.vtt 2KB
  257. 7. Keras/2. Intro to Keras.vtt 2KB
  258. 15. Final Codes & Outputs/6. Code 5 - Multiclass Classification.html 2KB
  259. 9. Multiclass Classification/5. Source Code.html 2KB
  260. 6. Intro to Neural Networks/7. Weights.vtt 2KB
  261. 15. Final Codes & Outputs/4. Code 3 - Intro to Keras.html 2KB
  262. 7. Keras/6. Source Code.html 2KB
  263. 12. Traffic Sign Classification/6. Resources Needed for Testing.html 2KB
  264. 14. Behavioural Cloning/8. Drive.py code.html 2KB
  265. 15. Final Codes & Outputs/5. Code 4 - Deep Neural Networks.html 2KB
  266. 15. Final Codes & Outputs/3. Code 2 - Intro to Neural Networks.html 2KB
  267. 6. Intro to Neural Networks/20. Source Code.html 2KB
  268. 6. Intro to Neural Networks/1. Overview.vtt 2KB
  269. 8. Deep Neural Networks/8. Source Code.html 2KB
  270. 3. Python Crash Course (Optional)/30. Scope.vtt 2KB
  271. 12. Traffic Sign Classification/3.1 Traffic Signs Starter Project.ipynb.zip/Traffic Signs Starter Project.ipynb 2KB
  272. 12. Traffic Sign Classification/2. Traffic Signs Starter Code.html 1KB
  273. 3. Python Crash Course (Optional)/1. Python Crash Course Part 1 - Data Types.vtt 1KB
  274. 14. Behavioural Cloning/15. Outro.vtt 1KB
  275. 12. Traffic Sign Classification/1. Overview.vtt 1KB
  276. 6. Intro to Neural Networks/16. Source Code.html 1KB
  277. 3. Python Crash Course (Optional)/28. Part 3 - Functions.vtt 1KB
  278. 6. Intro to Neural Networks/8.1 Initial Stages.ipynb/Initial Stages.ipynb 1KB
  279. 6. Intro to Neural Networks/9.1 Initial Stages.ipynb/Initial Stages.ipynb 1KB
  280. 2. Installation/1. Overview.vtt 1KB
  281. 6. Intro to Neural Networks/13. Source code.html 1022B
  282. 3. Python Crash Course (Optional)/19. Part 2 - Control Flow.vtt 1007B
  283. 8. Deep Neural Networks/1. Overview.vtt 998B
  284. 10. MNIST Image Recognition/1. Overview.vtt 971B
  285. 11. Convolutional Neural Networks/1. Overview.vtt 943B
  286. 4. NumPy Crash Course (Optional)/1. Overview.vtt 937B
  287. 12. Traffic Sign Classification/10. Section 12 - Outro.vtt 906B
  288. 15. Final Codes & Outputs/10. Code 9 - Polynomial Regression.html 862B
  289. 3. Python Crash Course (Optional)/33. Part 3 - Outro.vtt 841B
  290. 13. Polynomial Regression/3. Final Source Code.html 806B
  291. 5. Computer Vision Finding Lane-Lines/14. Part 5 - Conclusion.vtt 793B
  292. 9. Multiclass Classification/1. Overview.vtt 780B
  293. 5. Computer Vision Finding Lane-Lines/1. Overview.vtt 772B
  294. 6. Intro to Neural Networks/21. Part 6 - Conclusion.vtt 764B
  295. 2. Installation/5. Outro.vtt 721B
  296. 7. Keras/1. Overview.vtt 669B
  297. 13. Polynomial Regression/1. Overview.vtt 639B
  298. 6. Intro to Neural Networks/9. Sample Code for Initial Stages.html 575B
  299. 10. MNIST Image Recognition/10. Section 10 - Outro.vtt 523B
  300. 8. Deep Neural Networks/9. Section 8 - Conclusion.vtt 505B
  301. 13. Polynomial Regression/4. Section 13 - Conclusion.vtt 499B
  302. 7. Keras/3. Starter Code.html 496B
  303. 7. Keras/7. Part 7 - Outro.vtt 449B
  304. 9. Multiclass Classification/6. Section 9 - Outro.vtt 443B
  305. 3. Python Crash Course (Optional)/27. Part 2 - Outro.vtt 432B
  306. 11. Convolutional Neural Networks/11. Section 11 - Conclusion.vtt 418B
  307. 3. Python Crash Course (Optional)/18. Part 1 - Outro.vtt 359B
  308. 15. Final Codes & Outputs/1. Overview.html 328B
  309. 4. NumPy Crash Course (Optional)/10. Part 4 - Outro.vtt 250B
  310. 10. MNIST Image Recognition/7. Resource for upcoming video.html 240B
  311. 5. Computer Vision Finding Lane-Lines/11. Resource for upcoming video.html 101B
  312. 15. Final Codes & Outputs/12. Simulation Output Results - Training Track.vtt 8B
  313. 15. Final Codes & Outputs/13. Simulation Output Results - Test Track.vtt 8B