[DesireCourse.Net] Udemy - Deep Learning A-Z™ Hands-On Artificial Neural Networks

文件大小:3.06 GB
创建日期:2023-12-03
相关链接:DesireCourseUdemyDeepLearningA-Z™Hands-OnArtificialNeuralNetworks

文件列表345

  •  1. Welcome to the course/1. Updates on Udemy Reviews.mp4  61.15 MB
  •  6. Evaluating, Improving and Tuning the ANN/1. Evaluating the ANN.mp4  55.84 MB
  •  14. RNN Intuition/6. Practical intuition.mp4  52.84 MB
  •  26. Building an AutoEncoder/16. THANK YOU bonus video.mp4  52.3 MB
  •  6. Evaluating, Improving and Tuning the ANN/3. Tuning the ANN.mp4  50.76 MB
  •  26. Building an AutoEncoder/8. Building an AutoEncoder - Step 4.mp4  49.56 MB
  •  10. Building a CNN/12. Building a CNN - Step 9.mp4  46.87 MB
  •  14. RNN Intuition/5. LSTMs.mp4  45.97 MB
  •  4. Building an ANN/6. Building an ANN - Step 2.mp4  45.86 MB
  •  23. Building a Boltzmann Machine/8. Building a Boltzmann Machine - Step 4.mp4  45.64 MB
  •  18. SOMs Intuition/8. Reading an Advanced SOM.mp4  43.18 MB
  •  23. Building a Boltzmann Machine/17. Building a Boltzmann Machine - Step 13.mp4  42.97 MB
  •  9. CNN Intuition/8. Step 4 - Full Connection.mp4  42.74 MB
  •  30. Classification Template/5. Logistic Regression Implementation - Step 5.mp4  42.48 MB
  •  11. Homework - What's that pet/2. Homework Solution.mp4  40.97 MB
  •  23. Building a Boltzmann Machine/18. Building a Boltzmann Machine - Step 14.mp4  40.43 MB
  •  9. CNN Intuition/6. Step 2 - Pooling.mp4  40.25 MB
  •  15. Building a RNN/15. Building a RNN - Step 13.mp4  39.86 MB
  •  26. Building an AutoEncoder/10. Building an AutoEncoder - Step 6.mp4  37.92 MB
  •  5. Homework Challenge - Should we say goodbye to that customer/2. Homework Solution.mp4  37.62 MB
  •  14. RNN Intuition/3. The idea behind Recurrent Neural Networks.mp4  37.3 MB
  •  15. Building a RNN/6. Building a RNN - Step 4.mp4  37.11 MB
  •  19. Building a SOM/4. Building a SOM - Step 3.mp4  36.03 MB
  •  20. Mega Case Study/3. Mega Case Study - Step 3.mp4  35.2 MB
  •  26. Building an AutoEncoder/12. Building an AutoEncoder - Step 8.mp4  33.83 MB
  •  26. Building an AutoEncoder/11. Building an AutoEncoder - Step 7.mp4  33.7 MB
  •  9. CNN Intuition/10. Softmax & Cross-Entropy.mp4  33.24 MB
  •  22. Boltzmann Machine Intuition/5. Restricted Boltzmann Machine.mp4  31.89 MB
  •  26. Building an AutoEncoder/13. Building an AutoEncoder - Step 9.mp4  31.61 MB
  •  1. Welcome to the course/2. What is Deep Learning.mp4  31.31 MB
  •  9. CNN Intuition/4. Step 1 - Convolution Operation.mp4  31.02 MB
  •  23. Building a Boltzmann Machine/16. Building a Boltzmann Machine - Step 12.mp4  30.95 MB
  •  19. Building a SOM/2. Building a SOM - Step 1.mp4  30.67 MB
  •  4. Building an ANN/9. Building an ANN - Step 5.mp4  29.58 MB
  •  3. ANN Intuition/2. The Neuron.mp4  29.57 MB
  •  9. CNN Intuition/3. What are convolutional neural networks.mp4  29.5 MB
  •  15. Building a RNN/13. Building a RNN - Step 11.mp4  29.29 MB
  •  23. Building a Boltzmann Machine/12. Building a Boltzmann Machine - Step 8.mp4  29.2 MB
  •  28. Regression & Classification Intuition/5. Logistic Regression Intuition.mp4  29.17 MB
  •  14. RNN Intuition/4. The Vanishing Gradient Problem.mp4  29.01 MB
  •  29. Data Preprocessing Template/4. Data Preprocessing - Step 4.mp4  28.95 MB
  •  19. Building a SOM/5. Building a SOM - Step 4.mp4  28.73 MB
  •  26. Building an AutoEncoder/15. Building an AutoEncoder - Step 11.mp4  28.29 MB
  •  26. Building an AutoEncoder/5. Building an AutoEncoder - Step 2.mp4  27.81 MB
  •  10. Building a CNN/7. Building a CNN - Step 4.mp4  27.2 MB
  •  3. ANN Intuition/5. How do Neural Networks learn.mp4  26.55 MB
  •  15. Building a RNN/7. Building a RNN - Step 5.mp4  26.22 MB
  •  26. Building an AutoEncoder/4. Building an AutoEncoder - Step 1.mp4  26.04 MB
  •  18. SOMs Intuition/5. How do Self-Organizing Maps Learn (Part 1).mp4  25.08 MB
  •  22. Boltzmann Machine Intuition/2. Boltzmann Machine.mp4  25.01 MB