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

FreeTutorialsUdemyDeepLearningComputerVisionBuildSelf-Driving

种子大小：9.22 GB

收录时间：2018-12-29

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文件列表：307File

  1. 14. Behavioural Cloning/11. Generator - Augmentation Techniques.mp4380.89 MB
  2. 12. Classifying Road Symbols/3. Preprocessing Images.mp4330.4 MB
  3. 14. Behavioural Cloning/2. Collecting Data.mp4282.41 MB
  4. 11. Convolutional Neural Networks/8. Code Implementation I.mp4254.53 MB
  5. 14. Behavioural Cloning/13. Fit Generator.mp4248.41 MB
  6. 9. Multiclass Classification/4. Implementation.mp4245.3 MB
  7. 11. Convolutional Neural Networks/3. Convolutional Layer.mp4229.8 MB
  8. 11. Convolutional Neural Networks/9. Code Implementation II.mp4213.41 MB
  9. 8. Deep Neural Networks/7. Code Implementation.mp4204.25 MB
  10. 14. Behavioural Cloning/7. Defining Nvidia Model.mp4198.55 MB
  11. 10. MNIST Image Recognition/5. Implementation Part 1.mp4194.02 MB
  12. 7. Keras/4. Keras Models.mp4175.26 MB
  13. 14. Behavioural Cloning/10. Self Driving Car - Test 1.mp4165.97 MB
  14. 5. Computer Vision Finding Lane Lines/11. Optimizing.mp4164.52 MB
  15. 11. Convolutional Neural Networks/5. Pooling.mp4161.92 MB
  16. 14. Behavioural Cloning/6. Preprocessing Images.mp4161.75 MB
  17. 12. Classifying Road Symbols/8. Fit Generator.mp4159.84 MB
  18. 10. MNIST Image Recognition/6. Implementation Part 2.mp4155.9 MB
  19. 7. Keras/5. Keras - Predictions.mp4144.46 MB
  20. 9. Multiclass Classification/2. Softmax.mp4141.67 MB
  21. 5. Computer Vision Finding Lane Lines/9. Line Detection - Hough Transform.mp4132.64 MB
  22. 10. MNIST Image Recognition/3. Train & Test.mp4132.04 MB
  23. 14. Behavioural Cloning/3. Downloading Data.mp4130.62 MB
  24. 12. Classifying Road Symbols/4. leNet Implementation.mp4129.39 MB
  25. 13. Polynomial Regression/2. Implementation.mp4128.86 MB
  26. 8. Deep Neural Networks/3. Architecture.mp4126.03 MB
  27. 12. Classifying Road Symbols/5. Fine-tuning Model.mp4117.04 MB
  28. 5. Computer Vision Finding Lane Lines/10. Hough Transform II.mp4114.7 MB
  29. 14. Behavioural Cloning/9. Flask & Socket.io.mp499.77 MB
  30. 4. NumPy Crash Course (Optional)/3. Multidimensional Arrays.mp496.82 MB
  31. 14. Behavioural Cloning/12. Batch Generator.mp495.11 MB
  32. 5. Computer Vision Finding Lane Lines/8. Binary Numbers & Bitwise_and.mp491.8 MB
  33. 6. The Perceptron/12. Sigmoid Implementation (Code).mp490.73 MB
  34. 11. Convolutional Neural Networks/2. Convolutions & MNIST.mp489.98 MB
  35. 8. Deep Neural Networks/4. Feedforward Process.mp488.9 MB
  36. 4. NumPy Crash Course (Optional)/2. Vector Addition - Arrays vs Lists.mp486.82 MB
  37. 6. The Perceptron/5. Linear Model.mp486.36 MB
  38. 5. Computer Vision Finding Lane Lines/13. Finding Lanes on Video.mp482.8 MB
  39. 4. NumPy Crash Course (Optional)/9. Stacking.mp482.31 MB
  40. 6. The Perceptron/4. Classification.mp482.08 MB
  41. 9. Multiclass Classification/3. Cross Entropy.mp481.95 MB
  42. 10. MNIST Image Recognition/4. Hyperparameters.mp481.23 MB
  43. 11. Convolutional Neural Networks/4. Convolutions II.mp479.79 MB
  44. 6. The Perceptron/8. Project - Initial Stages.mp478.25 MB
  45. 11. Convolutional Neural Networks/6. Fully Connected Layer.mp477.89 MB
  46. 6. The Perceptron/18. Gradient Descent (Code).mp475.74 MB
  47. 10. MNIST Image Recognition/8. Implementation Part 3.mp475.33 MB
  48. 14. Behavioural Cloning/4. Balancing Data.mp474.71 MB
  49. 8. Deep Neural Networks/2. Non-Linear Boundaries.mp471.12 MB
  50. 10. MNIST Image Recognition/2. MNIST Dataset.mp470.96 MB
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