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种子名称： [FreeCourseSite.com] Udemy - Deep Learning A-Z™ Hands-On Artificial Neural Networks
文件类型： 视频
文件数目： 136个文件
文件大小： 4.06 GB
收录时间： 2022-3-11 22:53
已经下载： 3次
资源热度： 404
最近下载： 2024-12-14 04:50

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[FreeCourseSite.com] Udemy - Deep Learning A-Z™ Hands-On Artificial Neural Networks.torrent

1. Welcome to the course/1. What is Deep Learning.mp431.31MB

1. Welcome to the course/2. Updates on Udemy Reviews.mp420.4MB

10. Building a RNN/10. Building a RNN - Step 9.mp48.17MB

10. Building a RNN/11. Building a RNN - Step 10.mp411.42MB

10. Building a RNN/12. Building a RNN - Step 11.mp429.29MB

10. Building a RNN/13. Building a RNN - Step 12.mp413.47MB

10. Building a RNN/14. Building a RNN - Step 13.mp439.86MB

10. Building a RNN/15. Building a RNN - Step 14.mp421.54MB

10. Building a RNN/16. Building a RNN - Step 15.mp421.67MB

10. Building a RNN/2. Building a RNN - Step 1.mp413.7MB

10. Building a RNN/3. Building a RNN - Step 2.mp415.59MB

10. Building a RNN/4. Building a RNN - Step 3.mp415.91MB

10. Building a RNN/5. Building a RNN - Step 4.mp437.12MB

10. Building a RNN/6. Building a RNN - Step 5.mp426.21MB

10. Building a RNN/7. Building a RNN - Step 6.mp46.76MB

10. Building a RNN/8. Building a RNN - Step 7.mp420.84MB

10. Building a RNN/9. Building a RNN - Step 8.mp413.43MB

13. SOMs Intuition/1. Plan of attack.mp44.45MB

13. SOMs Intuition/10. EXTRA K-means Clustering (part 3).mp418.48MB

13. SOMs Intuition/2. How do Self-Organizing Maps Work.mp415.96MB

13. SOMs Intuition/3. Why revisit K-Means.mp43.46MB

13. SOMs Intuition/4. K-Means Clustering (Refresher).mp421.24MB

13. SOMs Intuition/5. How do Self-Organizing Maps Learn (Part 1).mp425.09MB

13. SOMs Intuition/6. How do Self-Organizing Maps Learn (Part 2).mp415.49MB

13. SOMs Intuition/7. Live SOM example.mp412.68MB

13. SOMs Intuition/8. Reading an Advanced SOM.mp443.19MB

13. SOMs Intuition/9. EXTRA K-means Clustering (part 2).mp412.34MB

14. Building a SOM/2. How to get the dataset.mp46.48MB

14. Building a SOM/3. Building a SOM - Step 1.mp430.66MB

14. Building a SOM/4. Building a SOM - Step 2.mp419.43MB

14. Building a SOM/5. Building a SOM - Step 3.mp436.03MB

14. Building a SOM/6. Building a SOM - Step 4.mp428.74MB

15. Mega Case Study/2. Mega Case Study - Step 1.mp44.29MB

15. Mega Case Study/3. Mega Case Study - Step 2.mp49.68MB

15. Mega Case Study/4. Mega Case Study - Step 3.mp435.21MB

15. Mega Case Study/5. Mega Case Study - Step 4.mp422.74MB

16. ------------------------- Part 5 - Boltzmann Machines -------------------------/2. Plan of attack.mp43.27MB

17. Boltzmann Machine Intuition/1. Boltzmann Machine.mp425.01MB

17. Boltzmann Machine Intuition/2. Energy-Based Models (EBM).mp415.72MB

17. Boltzmann Machine Intuition/3. Editing Wikipedia - Our Contribution to the World.mp418.43MB

17. Boltzmann Machine Intuition/4. Restricted Boltzmann Machine.mp431.88MB

17. Boltzmann Machine Intuition/5. Contrastive Divergence.mp424.92MB

17. Boltzmann Machine Intuition/6. Deep Belief Networks.mp410.34MB

17. Boltzmann Machine Intuition/7. Deep Boltzmann Machines.mp44.85MB

17. Boltzmann Machine Intuition/8. How to get the dataset.mp46.49MB

18. Building a Boltzmann Machine/10. Building a Boltzmann Machine - Step 6.mp418.79MB

18. Building a Boltzmann Machine/11. Building a Boltzmann Machine - Step 7.mp422.9MB

18. Building a Boltzmann Machine/12. Building a Boltzmann Machine - Step 8.mp429.2MB

18. Building a Boltzmann Machine/13. Building a Boltzmann Machine - Step 9.mp415.28MB

18. Building a Boltzmann Machine/14. Building a Boltzmann Machine - Step 10.mp424.42MB

18. Building a Boltzmann Machine/15. Building a Boltzmann Machine - Step 11.mp416.69MB

18. Building a Boltzmann Machine/16. Building a Boltzmann Machine - Step 12.mp430.95MB

18. Building a Boltzmann Machine/17. Building a Boltzmann Machine - Step 13.mp442.97MB

18. Building a Boltzmann Machine/18. Building a Boltzmann Machine - Step 14.mp440.43MB

18. Building a Boltzmann Machine/3. Building a Boltzmann Machine - Introduction.mp421.06MB

18. Building a Boltzmann Machine/5. Building a Boltzmann Machine - Step 1.mp421.17MB

18. Building a Boltzmann Machine/6. Building a Boltzmann Machine - Step 2.mp420.84MB

18. Building a Boltzmann Machine/7. Building a Boltzmann Machine - Step 3.mp418.2MB

18. Building a Boltzmann Machine/8. Building a Boltzmann Machine - Step 4.mp445.65MB

18. Building a Boltzmann Machine/9. Building a Boltzmann Machine - Step 5.mp411.13MB

19. ---------------------------- Part 6 - AutoEncoders ----------------------------/2. Plan of attack.mp43.36MB

20. AutoEncoders Intuition/1. Auto Encoders.mp421.55MB

20. AutoEncoders Intuition/2. A Note on Biases.mp42.05MB

20. AutoEncoders Intuition/3. Training an Auto Encoder.mp411.13MB

20. AutoEncoders Intuition/4. Overcomplete hidden layers.mp46.41MB

20. AutoEncoders Intuition/5. Sparse Autoencoders.mp411.52MB

20. AutoEncoders Intuition/6. Denoising Autoencoders.mp44.74MB

20. AutoEncoders Intuition/7. Contractive Autoencoders.mp44.34MB

20. AutoEncoders Intuition/8. Stacked Autoencoders.mp43.64MB

20. AutoEncoders Intuition/9. Deep Autoencoders.mp42.84MB

21. Building an AutoEncoder/10. Building an AutoEncoder - Step 5.mp411.86MB

21. Building an AutoEncoder/11. Building an AutoEncoder - Step 6.mp437.92MB

21. Building an AutoEncoder/12. Building an AutoEncoder - Step 7.mp433.7MB

21. Building an AutoEncoder/13. Building an AutoEncoder - Step 8.mp433.83MB

21. Building an AutoEncoder/14. Building an AutoEncoder - Step 9.mp431.61MB

21. Building an AutoEncoder/15. Building an AutoEncoder - Step 10.mp411.26MB

21. Building an AutoEncoder/16. Building an AutoEncoder - Step 11.mp428.3MB

21. Building an AutoEncoder/17. THANK YOU bonus video.mp452.31MB

21. Building an AutoEncoder/2. How to get the dataset.mp46.48MB

21. Building an AutoEncoder/5. Building an AutoEncoder - Step 1.mp426.04MB

21. Building an AutoEncoder/6. Building an AutoEncoder - Step 2.mp427.82MB

21. Building an AutoEncoder/7. Building an AutoEncoder - Step 3.mp420.09MB

21. Building an AutoEncoder/9. Building an AutoEncoder - Step 4.mp449.56MB

23. Regression & Classification Intuition/2. Simple Linear Regression Intuition - Step 1.mp49.47MB

23. Regression & Classification Intuition/3. Simple Linear Regression Intuition - Step 2.mp45.38MB

23. Regression & Classification Intuition/4. Multiple Linear Regression Intuition.mp41.82MB

23. Regression & Classification Intuition/5. Logistic Regression Intuition.mp429.17MB

24. Data Preprocessing Template/2. Data Preprocessing - Step 1.mp454.34MB

24. Data Preprocessing Template/3. Data Preprocessing - Step 2.mp415.96MB

24. Data Preprocessing Template/4. Data Preprocessing - Step 3.mp471.77MB

24. Data Preprocessing Template/5. Data Preprocessing - Step 4.mp469.02MB

24. Data Preprocessing Template/6. Data Preprocessing - Step 5.mp488.67MB

24. Data Preprocessing Template/7. Data Preprocessing - Step 6.mp467.62MB

24. Data Preprocessing Template/8. Data Preprocessing - Step 7.mp4101.71MB

25. Logistic Regression Implementation/2. Logistic Regression - Step 1.mp444.61MB

25. Logistic Regression Implementation/3. Logistic Regression - Step 2.mp484.63MB

25. Logistic Regression Implementation/4. Logistic Regression - Step 3.mp443.06MB

25. Logistic Regression Implementation/5. Logistic Regression - Step 4.mp445.19MB

25. Logistic Regression Implementation/6. Logistic Regression - Step 5.mp430.56MB

25. Logistic Regression Implementation/7. Logistic Regression - Step 6.mp452.97MB

25. Logistic Regression Implementation/8. Logistic Regression - Step 7.mp4118.61MB

3. ANN Intuition/2. Plan of Attack.mp44.75MB

3. ANN Intuition/3. The Neuron.mp429.57MB

3. ANN Intuition/4. The Activation Function.mp414.75MB

3. ANN Intuition/5. How do Neural Networks work.mp423.53MB

3. ANN Intuition/6. How do Neural Networks learn.mp426.55MB

3. ANN Intuition/7. Gradient Descent.mp418.53MB

3. ANN Intuition/8. Stochastic Gradient Descent.mp416.83MB

3. ANN Intuition/9. Backpropagation.mp410.92MB

4. Building an ANN/1. Business Problem Description.mp416.38MB

4. Building an ANN/3. Building an ANN - Step 1.mp466.48MB

4. Building an ANN/5. Building an ANN - Step 2.mp4111MB

4. Building an ANN/6. Building an ANN - Step 3.mp475.07MB

4. Building an ANN/7. Building an ANN - Step 4.mp465.37MB

4. Building an ANN/8. Building an ANN - Step 5.mp4101.29MB

6. CNN Intuition/10. Softmax & Cross-Entropy.mp433.24MB

6. CNN Intuition/2. Plan of attack.mp44.91MB

6. CNN Intuition/3. What are convolutional neural networks.mp429.51MB

6. CNN Intuition/4. Step 1 - Convolution Operation.mp431.02MB

6. CNN Intuition/5. Step 1(b) - ReLU Layer.mp414.09MB

6. CNN Intuition/6. Step 2 - Pooling.mp440.25MB

6. CNN Intuition/7. Step 3 - Flattening.mp43.27MB

6. CNN Intuition/8. Step 4 - Full Connection.mp442.75MB

6. CNN Intuition/9. Summary.mp47.91MB

7. Building a CNN/2. Building a CNN - Step 1.mp470.79MB

7. Building a CNN/3. Building a CNN - Step 2.mp4106.86MB

7. Building a CNN/4. Building a CNN - Step 3.mp4118.61MB

7. Building a CNN/5. Building a CNN - Step 4.mp440.01MB

7. Building a CNN/6. Building a CNN - Step 5.mp497.72MB

7. Building a CNN/8. Building a CNN - FINAL DEMO!.mp4152.78MB

9. RNN Intuition/2. Plan of attack.mp44.19MB

9. RNN Intuition/3. The idea behind Recurrent Neural Networks.mp437.3MB

9. RNN Intuition/4. The Vanishing Gradient Problem.mp429.01MB

9. RNN Intuition/5. LSTMs.mp445.96MB

9. RNN Intuition/6. Practical intuition.mp452.85MB

9. RNN Intuition/7. EXTRA LSTM Variations.mp47.34MB