589689.xyz

[] Udemy - Deep Learning & Computer Vision - Build a Self-Driving Car

  • 收录时间:2019-05-07 13:24:38
  • 文件大小:9GB
  • 下载次数:129
  • 最近下载:2021-01-15 21:23:57
  • 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. Classifying Road Symbols/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/11. Optimizing.mp4 165MB
  15. 11. Convolutional Neural Networks/5. Pooling.mp4 162MB
  16. 14. Behavioural Cloning/6. Preprocessing Images.mp4 162MB
  17. 12. Classifying Road Symbols/8. Fit Generator.mp4 160MB
  18. 10. MNIST Image Recognition/6. Implementation Part 2.mp4 156MB
  19. 7. Keras/5. Keras - Predictions.mp4 144MB
  20. 9. Multiclass Classification/2. Softmax.mp4 142MB
  21. 5. Computer Vision Finding Lane Lines/9. Line Detection - Hough Transform.mp4 133MB
  22. 10. MNIST Image Recognition/3. Train & Test.mp4 132MB
  23. 14. Behavioural Cloning/3. Downloading Data.mp4 131MB
  24. 12. Classifying Road Symbols/4. leNet Implementation.mp4 129MB
  25. 13. Polynomial Regression/2. Implementation.mp4 129MB
  26. 8. Deep Neural Networks/3. Architecture.mp4 126MB
  27. 12. Classifying Road Symbols/5. Fine-tuning Model.mp4 117MB
  28. 5. Computer Vision Finding Lane Lines/10. Hough Transform II.mp4 115MB
  29. 14. Behavioural Cloning/9. Flask & Socket.io.mp4 100MB
  30. 4. NumPy Crash Course (Optional)/3. Multidimensional Arrays.mp4 97MB
  31. 14. Behavioural Cloning/12. Batch Generator.mp4 95MB
  32. 5. Computer Vision Finding Lane Lines/8. Binary Numbers & Bitwise_and.mp4 92MB
  33. 6. The Perceptron/12. Sigmoid Implementation (Code).mp4 91MB
  34. 11. Convolutional Neural Networks/2. Convolutions & MNIST.mp4 90MB
  35. 8. Deep Neural Networks/4. Feedforward Process.mp4 89MB
  36. 4. NumPy Crash Course (Optional)/2. Vector Addition - Arrays vs Lists.mp4 87MB
  37. 6. The Perceptron/5. Linear Model.mp4 86MB
  38. 5. Computer Vision Finding Lane Lines/13. Finding Lanes on Video.mp4 83MB
  39. 4. NumPy Crash Course (Optional)/9. Stacking.mp4 82MB
  40. 6. The Perceptron/4. Classification.mp4 82MB
  41. 9. Multiclass Classification/3. Cross Entropy.mp4 82MB
  42. 10. MNIST Image Recognition/4. Hyperparameters.mp4 81MB
  43. 11. Convolutional Neural Networks/4. Convolutions II.mp4 80MB
  44. 6. The Perceptron/8. Project - Initial Stages.mp4 78MB
  45. 11. Convolutional Neural Networks/6. Fully Connected Layer.mp4 78MB
  46. 6. The Perceptron/18. Gradient Descent (Code).mp4 76MB
  47. 10. MNIST Image Recognition/8. Implementation Part 3.mp4 75MB
  48. 14. Behavioural Cloning/4. Balancing Data.mp4 75MB
  49. 8. Deep Neural Networks/2. Non-Linear Boundaries.mp4 71MB
  50. 10. MNIST Image Recognition/2. MNIST Dataset.mp4 71MB
  51. 14. Behavioural Cloning/5. Training & Validation Split.mp4 66MB
  52. 8. Deep Neural Networks/6. Backpropagation.mp4 65MB
  53. 12. Classifying Road Symbols/7. Testing.mp4 63MB
  54. 6. The Perceptron/14. Cross Entropy.mp4 63MB
  55. 6. The Perceptron/11. Sigmoid.mp4 62MB
  56. 6. The Perceptron/15. Cross Entropy (Code).mp4 61MB
  57. 3. Python Crash Course (Optional)/10. Slicing.mp4 56MB
  58. 8. Deep Neural Networks/5. Error Function.mp4 54MB
  59. 6. The Perceptron/6. Perceptrons.mp4 51MB
  60. 14. Behavioural Cloning/1. Overview.mp4 50MB
  61. 5. Computer Vision Finding Lane Lines/7. Region of Interest.mp4 49MB
  62. 4. NumPy Crash Course (Optional)/6. Multidimensional Slicing.mp4 49MB
  63. 3. Python Crash Course (Optional)/22. elif.mp4 49MB
  64. 4. NumPy Crash Course (Optional)/7. Manipulating Array Shapes.mp4 48MB
  65. 5. Computer Vision Finding Lane Lines/4. Grayscale Conversion.mp4 47MB
  66. 3. Python Crash Course (Optional)/14. Common Functions & Methods.mp4 47MB
  67. 6. The Perceptron/3. Supervised Learning - Friendly Example.mp4 47MB
  68. 6. The Perceptron/17. Gradient Descent.mp4 45MB
  69. 5. Computer Vision Finding Lane Lines/6. Simple Edge Detection.mp4 43MB
  70. 3. Python Crash Course (Optional)/6. String Data Types.mp4 42MB
  71. 6. The Perceptron/10. Error Function.mp4 42MB
  72. 5. Computer Vision Finding Lane Lines/3. Loading Image.mp4 40MB
  73. 3. Python Crash Course (Optional)/24. For Loops.mp4 39MB
  74. 6. The Perceptron/2. Machine Learning.mp4 37MB
  75. 3. Python Crash Course (Optional)/9. Lists.mp4 36MB
  76. 3. Python Crash Course (Optional)/17. Dictionaries.mp4 35MB
  77. 4. NumPy Crash Course (Optional)/8. Matrix Multiplication.mp4 34MB
  78. 3. Python Crash Course (Optional)/12. Mutability.mp4 33MB
  79. 5. Computer Vision Finding Lane Lines/13.1 test2.mp4.mp4 32MB
  80. 3. Python Crash Course (Optional)/13. Mutability II.mp4 32MB
  81. 3. Python Crash Course (Optional)/30. Functions.mp4 32MB
  82. 5. Computer Vision Finding Lane Lines/5. Smoothening Image.mp4 31MB
  83. 3. Python Crash Course (Optional)/23. Complex Comparisons.mp4 30MB
  84. 2. Installation/4. Text Editor.mp4 29MB
  85. 3. Python Crash Course (Optional)/33. Lambda & Higher Order Functions.mp4 28MB
  86. 5. Computer Vision Finding Lane Lines/12.1 test2.mp4.zip.zip 28MB
  87. 6. The Perceptron/1. Overview.mp4 28MB
  88. 3. Python Crash Course (Optional)/4. Variables.mp4 28MB
  89. 3. Python Crash Course (Optional)/21. If, else.mp4 27MB
  90. 1. Introduction/1. Why This Course.mp4 26MB
  91. 3. Python Crash Course (Optional)/3. Arithmetic Operations.mp4 25MB
  92. 2. Installation/3. Anaconda Distribution - Windows.mp4 25MB
  93. 6. The Perceptron/7. Weights.mp4 25MB
  94. 2. Installation/2. Anaconda Distribution - Mac.mp4 25MB
  95. 4. NumPy Crash Course (Optional)/4. One Dimensional Slicing.mp4 25MB
  96. 3. Python Crash Course (Optional)/7. Booleans.mp4 24MB
  97. 3. Python Crash Course (Optional)/5. Numeric Data Types.mp4 24MB
  98. 4. NumPy Crash Course (Optional)/5. Reshaping.mp4 23MB
  99. 3. Python Crash Course (Optional)/15. Tuples.mp4 23MB
  100. 3. Python Crash Course (Optional)/8. Methods.mp4 21MB
  101. 3. Python Crash Course (Optional)/26. While Loops.mp4 20MB
  102. 3. Python Crash Course (Optional)/18. Compound Data Structures.mp4 20MB
  103. 7. Keras/2. Intro to Keras.mp4 20MB
  104. 3. Python Crash Course (Optional)/27. Break.mp4 20MB
  105. 3. Python Crash Course (Optional)/16. Sets.mp4 20MB
  106. 3. Python Crash Course (Optional)/32. Doc Strings.mp4 20MB
  107. 14. Behavioural Cloning/15. Outro.mp4 20MB
  108. 6. The Perceptron/19. Recap.mp4 18MB
  109. 8. Deep Neural Networks/1. Overview.mp4 16MB
  110. 3. Python Crash Course (Optional)/1. Python Crash Course Part 1 - Data Types.mp4 15MB
  111. 3. Python Crash Course (Optional)/25. For Loops II.mp4 15MB
  112. 12. Classifying Road Symbols/1. Overview.mp4 14MB
  113. 3. Python Crash Course (Optional)/11. Membership Operators.mp4 14MB
  114. 3. Python Crash Course (Optional)/31. Scope.mp4 13MB
  115. 3. Python Crash Course (Optional)/20. Part 2 - Control Flow.mp4 11MB
  116. 3. Python Crash Course (Optional)/29. Part 3 - Functions.mp4 11MB
  117. 10. MNIST Image Recognition/1. Overview.mp4 11MB
  118. 4. NumPy Crash Course (Optional)/1. Overview.mp4 11MB
  119. 9. Multiclass Classification/1. Overview.mp4 10MB
  120. 5. Computer Vision Finding Lane Lines/15. Part 5 - Conclusion.mp4 10MB
  121. 3. Python Crash Course (Optional)/2. Jupyter Notebooks.mp4 10MB
  122. 12. Classifying Road Symbols/10. Section 12 - Outro.mp4 10MB
  123. 6. The Perceptron/21. Part 6 - Conclusion.mp4 10MB
  124. 11. Convolutional Neural Networks/1. Overview.mp4 10MB
  125. 5. Computer Vision Finding Lane Lines/1. Overview.mp4 9MB
  126. 3. Python Crash Course (Optional)/34. Part 3 - Outro.mp4 9MB
  127. 13. Polynomial Regression/1. Overview.mp4 8MB
  128. 7. Keras/1. Overview.mp4 7MB
  129. 8. Deep Neural Networks/9. Section 8 - Conclusion.mp4 6MB
  130. 10. MNIST Image Recognition/10. Section 10 - Outro.mp4 6MB
  131. 2. Installation/1. Overview.mp4 6MB
  132. 2. Installation/5. Outro.mp4 6MB
  133. 9. Multiclass Classification/6. Section 9 - Outro.mp4 5MB
  134. 13. Polynomial Regression/4. Section 13 - Conclusion.mp4 5MB
  135. 7. Keras/7. Part 7 - Outro.mp4 5MB
  136. 11. Convolutional Neural Networks/11. Section 11 - Conclusion.mp4 5MB
  137. 3. Python Crash Course (Optional)/28. Part 2 - Outro.mp4 4MB
  138. 3. Python Crash Course (Optional)/19. Part 1 - Outro.mp4 4MB
  139. 4. NumPy Crash Course (Optional)/10. Part 4 - Outro.mp4 2MB
  140. 5. Computer Vision Finding Lane Lines/2.1 Image.zip.zip 759KB
  141. 5. Computer Vision Finding Lane Lines/3.1 Image.zip.zip 759KB
  142. 12. Classifying Road Symbols/3. Preprocessing Images.srt 49KB
  143. 9. Multiclass Classification/4. Implementation.srt 40KB
  144. 10. MNIST Image Recognition/5. Implementation Part 1.srt 39KB
  145. 14. Behavioural Cloning/11. Generator - Augmentation Techniques.srt 38KB
  146. 11. Convolutional Neural Networks/8. Code Implementation I.srt 37KB
  147. 8. Deep Neural Networks/7. Code Implementation.srt 34KB
  148. 11. Convolutional Neural Networks/9. Code Implementation II.srt 30KB
  149. 14. Behavioural Cloning/7. Defining Nvidia Model.srt 29KB
  150. 7. Keras/4. Keras Models.srt 27KB
  151. 12. Classifying Road Symbols/8. Fit Generator.srt 26KB
  152. 10. MNIST Image Recognition/6. Implementation Part 2.srt 24KB
  153. 7. Keras/5. Keras - Predictions.srt 23KB
  154. 12. Classifying Road Symbols/4. leNet Implementation.srt 23KB
  155. 11. Convolutional Neural Networks/3. Convolutional Layer.srt 23KB
  156. 14. Behavioural Cloning/2. Collecting Data.srt 21KB
  157. 14. Behavioural Cloning/13. Fit Generator.srt 21KB
  158. 14. Behavioural Cloning/6. Preprocessing Images.srt 20KB
  159. 14. Behavioural Cloning/3. Downloading Data.srt 19KB
  160. 11. Convolutional Neural Networks/5. Pooling.srt 18KB
  161. 14. Behavioural Cloning/9. Flask & Socket.io.srt 18KB
  162. 12. Classifying Road Symbols/5. Fine-tuning Model.srt 17KB
  163. 13. Polynomial Regression/2. Implementation.srt 17KB
  164. 5. Computer Vision Finding Lane Lines/11. Optimizing.srt 17KB
  165. 9. Multiclass Classification/2. Softmax.srt 16KB
  166. 5. Computer Vision Finding Lane Lines/10. Hough Transform II.srt 16KB
  167. 10. MNIST Image Recognition/3. Train & Test.srt 16KB
  168. 14. Behavioural Cloning/10. Self Driving Car - Test 1.srt 16KB
  169. 6. The Perceptron/12. Sigmoid Implementation (Code).srt 15KB
  170. 4. NumPy Crash Course (Optional)/9. Stacking.srt 15KB
  171. 6. The Perceptron/8. Project - Initial Stages.srt 15KB
  172. 4. NumPy Crash Course (Optional)/2. Vector Addition - Arrays vs Lists.srt 15KB
  173. 5. Computer Vision Finding Lane Lines/9. Line Detection - Hough Transform.srt 14KB
  174. 4. NumPy Crash Course (Optional)/3. Multidimensional Arrays.srt 13KB
  175. 8. Deep Neural Networks/3. Architecture.srt 13KB
  176. 14. Behavioural Cloning/4. Balancing Data.srt 13KB
  177. 10. MNIST Image Recognition/8. Implementation Part 3.srt 13KB
  178. 14. Behavioural Cloning/12. Batch Generator.srt 12KB
  179. 14. Behavioural Cloning/5. Training & Validation Split.srt 12KB
  180. 5. Computer Vision Finding Lane Lines/8. Binary Numbers & Bitwise_and.srt 12KB
  181. 9. Multiclass Classification/3. Cross Entropy.srt 12KB
  182. 8. Deep Neural Networks/4. Feedforward Process.srt 11KB
  183. 6. The Perceptron/18. Gradient Descent (Code).srt 11KB
  184. 14. Behavioural Cloning/14. Final Source Code.html 10KB
  185. 6. The Perceptron/15. Cross Entropy (Code).srt 10KB
  186. 11. Convolutional Neural Networks/4. Convolutions II.srt 10KB
  187. 6. The Perceptron/4. Classification.srt 10KB
  188. 4. NumPy Crash Course (Optional)/7. Manipulating Array Shapes.srt 10KB
  189. 3. Python Crash Course (Optional)/10. Slicing.srt 9KB
  190. 6. The Perceptron/5. Linear Model.srt 9KB
  191. 5. Computer Vision Finding Lane Lines/7. Region of Interest.srt 9KB
  192. 6. The Perceptron/11. Sigmoid.srt 8KB
  193. 10. MNIST Image Recognition/4. Hyperparameters.srt 8KB
  194. 4. NumPy Crash Course (Optional)/6. Multidimensional Slicing.srt 8KB
  195. 6. The Perceptron/14. Cross Entropy.srt 8KB
  196. 3. Python Crash Course (Optional)/14. Common Functions & Methods.srt 8KB
  197. 5. Computer Vision Finding Lane Lines/13. Finding Lanes on Video.srt 8KB
  198. 11. Convolutional Neural Networks/2. Convolutions & MNIST.srt 8KB
  199. 11. Convolutional Neural Networks/6. Fully Connected Layer.srt 8KB
  200. 8. Deep Neural Networks/6. Backpropagation.srt 8KB
  201. 3. Python Crash Course (Optional)/24. For Loops.srt 8KB
  202. 3. Python Crash Course (Optional)/22. elif.srt 7KB
  203. 12. Classifying Road Symbols/7. Testing.srt 7KB
  204. 3. Python Crash Course (Optional)/33. Lambda & Higher Order Functions.srt 7KB
  205. 12. Classifying Road Symbols/9. Final Source Code.html 7KB
  206. 8. Deep Neural Networks/2. Non-Linear Boundaries.srt 7KB
  207. 10. MNIST Image Recognition/2. MNIST Dataset.srt 6KB
  208. 3. Python Crash Course (Optional)/6. String Data Types.srt 6KB
  209. 11. Convolutional Neural Networks/7. Starter Code.html 6KB
  210. 3. Python Crash Course (Optional)/9. Lists.srt 6KB
  211. 8. Deep Neural Networks/5. Error Function.srt 6KB
  212. 3. Python Crash Course (Optional)/4. Variables.srt 6KB
  213. 5. Computer Vision Finding Lane Lines/3. Loading Image.srt 6KB
  214. 3. Python Crash Course (Optional)/30. Functions.srt 6KB
  215. 6. The Perceptron/10. Error Function.srt 6KB
  216. 3. Python Crash Course (Optional)/17. Dictionaries.srt 5KB
  217. 3. Python Crash Course (Optional)/23. Complex Comparisons.srt 5KB
  218. 3. Python Crash Course (Optional)/3. Arithmetic Operations.srt 5KB
  219. 5. Computer Vision Finding Lane Lines/6. Simple Edge Detection.srt 5KB
  220. 6. The Perceptron/3. Supervised Learning - Friendly Example.srt 5KB
  221. 5. Computer Vision Finding Lane Lines/4. Grayscale Conversion.srt 5KB
  222. 6. The Perceptron/6. Perceptrons.srt 5KB
  223. 3. Python Crash Course (Optional)/7. Booleans.srt 5KB
  224. 11. Convolutional Neural Networks/10. Final Source Code.html 5KB
  225. 3. Python Crash Course (Optional)/21. If, else.srt 5KB
  226. 4. NumPy Crash Course (Optional)/8. Matrix Multiplication.srt 5KB
  227. 3. Python Crash Course (Optional)/12. Mutability.srt 5KB
  228. 3. Python Crash Course (Optional)/5. Numeric Data Types.srt 5KB
  229. 4. NumPy Crash Course (Optional)/4. One Dimensional Slicing.srt 4KB
  230. 3. Python Crash Course (Optional)/13. Mutability II.srt 4KB
  231. 3. Python Crash Course (Optional)/27. Break.srt 4KB
  232. 4. NumPy Crash Course (Optional)/5. Reshaping.srt 4KB
  233. 14. Behavioural Cloning/1. Overview.srt 4KB
  234. 6. The Perceptron/2. Machine Learning.srt 4KB
  235. 5. Computer Vision Finding Lane Lines/5. Smoothening Image.srt 4KB
  236. 3. Python Crash Course (Optional)/15. Tuples.srt 4KB
  237. 6. The Perceptron/17. Gradient Descent.srt 4KB
  238. 10. MNIST Image Recognition/9. Final Source Code.html 4KB
  239. 3. Python Crash Course (Optional)/8. Methods.srt 4KB
  240. 2. Installation/4. Text Editor.srt 4KB
  241. 3. Python Crash Course (Optional)/26. While Loops.srt 4KB
  242. 2. Installation/3. Anaconda Distribution - Windows.srt 4KB
  243. 1. Introduction/1. Why This Course.srt 4KB
  244. 3. Python Crash Course (Optional)/25. For Loops II.srt 3KB
  245. 2. Installation/2. Anaconda Distribution - Mac.srt 3KB
  246. 3. Python Crash Course (Optional)/16. Sets.srt 3KB
  247. 3. Python Crash Course (Optional)/11. Membership Operators.srt 3KB
  248. 5. Computer Vision Finding Lane Lines/14. Source Code.html 3KB
  249. 3. Python Crash Course (Optional)/32. Doc Strings.srt 3KB
  250. 6. The Perceptron/19. Recap.srt 3KB
  251. 3. Python Crash Course (Optional)/18. Compound Data Structures.srt 3KB
  252. 7. Keras/2. Intro to Keras.srt 3KB
  253. 6. The Perceptron/7. Weights.srt 3KB
  254. 3. Python Crash Course (Optional)/2. Jupyter Notebooks.srt 2KB
  255. 9. Multiclass Classification/5. Source Code.html 2KB
  256. 7. Keras/6. Source Code.html 2KB
  257. 6. The Perceptron/1. Overview.srt 2KB
  258. 12. Classifying Road Symbols/6. Resources Needed for Testing.html 2KB
  259. 14. Behavioural Cloning/8. Drive.py code.html 2KB
  260. 3. Python Crash Course (Optional)/31. Scope.srt 2KB
  261. 6. The Perceptron/20. Source Code.html 2KB
  262. 8. Deep Neural Networks/8. Source Code.html 2KB
  263. 12. Classifying Road Symbols/3.1 Traffic Signs Starter Project.ipynb.zip.zip 2KB
  264. 12. Classifying Road Symbols/2. Traffic Signs Starter Code.html 1KB
  265. 14. Behavioural Cloning/15. Outro.srt 1KB
  266. 3. Python Crash Course (Optional)/1. Python Crash Course Part 1 - Data Types.srt 1KB
  267. 12. Classifying Road Symbols/1. Overview.srt 1KB
  268. [FTU Forum].url 1KB
  269. 6. The Perceptron/8.1 Initial Stages.ipynb.zip.zip 1KB
  270. 6. The Perceptron/9.1 Initial Stages.ipynb.zip.zip 1KB
  271. 3. Python Crash Course (Optional)/29. Part 3 - Functions.srt 1KB
  272. 6. The Perceptron/16. Source Code.html 1KB
  273. 3. Python Crash Course (Optional)/20. Part 2 - Control Flow.srt 1KB
  274. 8. Deep Neural Networks/1. Overview.srt 1KB
  275. 10. MNIST Image Recognition/1. Overview.srt 1KB
  276. 11. Convolutional Neural Networks/1. Overview.srt 1KB
  277. 4. NumPy Crash Course (Optional)/1. Overview.srt 1KB
  278. 12. Classifying Road Symbols/10. Section 12 - Outro.srt 1023B
  279. 6. The Perceptron/13. Source code.html 1022B
  280. 3. Python Crash Course (Optional)/34. Part 3 - Outro.srt 933B
  281. 5. Computer Vision Finding Lane Lines/15. Part 5 - Conclusion.srt 897B
  282. 9. Multiclass Classification/1. Overview.srt 884B
  283. 5. Computer Vision Finding Lane Lines/1. Overview.srt 867B
  284. 6. The Perceptron/21. Part 6 - Conclusion.srt 844B
  285. 13. Polynomial Regression/3. Final Source Code.html 806B
  286. 2. Installation/5. Outro.srt 798B
  287. 7. Keras/1. Overview.srt 749B
  288. 13. Polynomial Regression/1. Overview.srt 719B
  289. 2. Installation/1. Overview.srt 693B
  290. 10. MNIST Image Recognition/10. Section 10 - Outro.srt 579B
  291. 6. The Perceptron/9. Sample Code for Initial Stages.html 575B
  292. 8. Deep Neural Networks/9. Section 8 - Conclusion.srt 573B
  293. 13. Polynomial Regression/4. Section 13 - Conclusion.srt 555B
  294. 9. Multiclass Classification/6. Section 9 - Outro.srt 499B
  295. 7. Keras/3. Starter Code.html 496B
  296. 7. Keras/7. Part 7 - Outro.srt 493B
  297. 3. Python Crash Course (Optional)/28. Part 2 - Outro.srt 488B
  298. 11. Convolutional Neural Networks/11. Section 11 - Conclusion.srt 474B
  299. 3. Python Crash Course (Optional)/19. Part 1 - Outro.srt 403B
  300. 4. NumPy Crash Course (Optional)/10. Part 4 - Outro.srt 282B
  301. How you can help Team-FTU.txt 241B
  302. 10. MNIST Image Recognition/7. Resource for upcoming video.html 240B
  303. [FreeCoursesOnline.Me].url 133B
  304. [FreeTutorials.Eu].url 129B
  305. 5. Computer Vision Finding Lane Lines/12. Resource for upcoming video.html 101B
  306. FTUApps.com website coming soon.txt 94B
  307. 5. Computer Vision Finding Lane Lines/2. Image needed for the next lesson.html 65B