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

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种子名称: [GigaCourse.com] Udemy - Deep Learning A-Z™ Hands-On Artificial Neural Networks
文件类型: 视频
文件数目: 155个文件
文件大小: 3.02 GB
收录时间: 2022-12-8 19:32
已经下载: 3
资源热度: 403
最近下载: 2024-12-15 04:37

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[GigaCourse.com] Udemy - Deep Learning A-Z™ Hands-On Artificial Neural Networks.torrent
  • 1. Welcome to the course/1. What is Deep Learning.mp431.32MB
  • 1. Welcome to the course/2. Updates on Udemy Reviews.mp420.41MB
  • 1. Welcome to the course/4. Installing Python.mp420.38MB
  • 1. Welcome to the course/5. How to get the dataset.mp46.48MB
  • 10. Building a CNN/1. How to get the dataset.mp46.49MB
  • 10. Building a CNN/10. Building a CNN - Step 7.mp412.57MB
  • 10. Building a CNN/11. Building a CNN - Step 8.mp46.8MB
  • 10. Building a CNN/12. Building a CNN - Step 9.mp446.88MB
  • 10. Building a CNN/13. Building a CNN - Step 10.mp420.55MB
  • 10. Building a CNN/3. Introduction to CNNs.mp47.84MB
  • 10. Building a CNN/4. Building a CNN - Step 1.mp419.18MB
  • 10. Building a CNN/5. Building a CNN - Step 2.mp45.85MB
  • 10. Building a CNN/6. Building a CNN - Step 3.mp42.24MB
  • 10. Building a CNN/7. Building a CNN - Step 4.mp427.2MB
  • 10. Building a CNN/8. Building a CNN - Step 5.mp49.91MB
  • 10. Building a CNN/9. Building a CNN - Step 6.mp49.7MB
  • 11. Homework - What's that pet/2. Homework Solution.mp440.97MB
  • 14. RNN Intuition/2. Plan of attack.mp44.2MB
  • 14. RNN Intuition/3. The idea behind Recurrent Neural Networks.mp437.3MB
  • 14. RNN Intuition/4. The Vanishing Gradient Problem.mp429.02MB
  • 14. RNN Intuition/5. LSTMs.mp445.96MB
  • 14. RNN Intuition/6. Practical intuition.mp452.85MB
  • 14. RNN Intuition/7. EXTRA LSTM Variations.mp47.33MB
  • 15. Building a RNN/1. How to get the dataset.mp46.5MB
  • 15. Building a RNN/10. Building a RNN - Step 8.mp413.43MB
  • 15. Building a RNN/11. Building a RNN - Step 9.mp48.17MB
  • 15. Building a RNN/12. Building a RNN - Step 10.mp411.43MB
  • 15. Building a RNN/13. Building a RNN - Step 11.mp429.3MB
  • 15. Building a RNN/14. Building a RNN - Step 12.mp413.47MB
  • 15. Building a RNN/15. Building a RNN - Step 13.mp439.86MB
  • 15. Building a RNN/16. Building a RNN - Step 14.mp421.55MB
  • 15. Building a RNN/17. Building a RNN - Step 15.mp421.68MB
  • 15. Building a RNN/3. Building a RNN - Step 1.mp413.7MB
  • 15. Building a RNN/4. Building a RNN - Step 2.mp415.59MB
  • 15. Building a RNN/5. Building a RNN - Step 3.mp415.92MB
  • 15. Building a RNN/6. Building a RNN - Step 4.mp437.12MB
  • 15. Building a RNN/7. Building a RNN - Step 5.mp426.21MB
  • 15. Building a RNN/8. Building a RNN - Step 6.mp46.76MB
  • 15. Building a RNN/9. Building a RNN - Step 7.mp420.84MB
  • 18. SOMs Intuition/1. Plan of attack.mp44.46MB
  • 18. SOMs Intuition/10. EXTRA K-means Clustering (part 3).mp418.48MB
  • 18. SOMs Intuition/2. How do Self-Organizing Maps Work.mp415.96MB
  • 18. SOMs Intuition/3. Why revisit K-Means.mp43.45MB
  • 18. SOMs Intuition/4. K-Means Clustering (Refresher).mp421.24MB
  • 18. SOMs Intuition/5. How do Self-Organizing Maps Learn (Part 1).mp425.08MB
  • 18. SOMs Intuition/6. How do Self-Organizing Maps Learn (Part 2).mp415.5MB
  • 18. SOMs Intuition/7. Live SOM example.mp412.69MB
  • 18. SOMs Intuition/8. Reading an Advanced SOM.mp443.18MB
  • 18. SOMs Intuition/9. EXTRA K-means Clustering (part 2).mp412.35MB
  • 19. Building a SOM/1. How to get the dataset.mp46.49MB
  • 19. Building a SOM/2. Building a SOM - Step 1.mp430.67MB
  • 19. Building a SOM/3. Building a SOM - Step 2.mp419.43MB
  • 19. Building a SOM/4. Building a SOM - Step 3.mp436.04MB
  • 19. Building a SOM/5. Building a SOM - Step 4.mp428.74MB
  • 20. Mega Case Study/1. Mega Case Study - Step 1.mp44.28MB
  • 20. Mega Case Study/2. Mega Case Study - Step 2.mp49.68MB
  • 20. Mega Case Study/3. Mega Case Study - Step 3.mp435.21MB
  • 20. Mega Case Study/4. Mega Case Study - Step 4.mp422.75MB
  • 22. Boltzmann Machine Intuition/1. Plan of attack.mp43.26MB
  • 22. Boltzmann Machine Intuition/2. Boltzmann Machine.mp425.01MB
  • 22. Boltzmann Machine Intuition/3. Energy-Based Models (EBM).mp415.73MB
  • 22. Boltzmann Machine Intuition/4. Editing Wikipedia - Our Contribution to the World.mp418.44MB
  • 22. Boltzmann Machine Intuition/5. Restricted Boltzmann Machine.mp431.89MB
  • 22. Boltzmann Machine Intuition/6. Contrastive Divergence.mp424.92MB
  • 22. Boltzmann Machine Intuition/7. Deep Belief Networks.mp410.35MB
  • 22. Boltzmann Machine Intuition/8. Deep Boltzmann Machines.mp44.85MB
  • 23. Building a Boltzmann Machine/1. How to get the dataset.mp46.49MB
  • 23. Building a Boltzmann Machine/10. Building a Boltzmann Machine - Step 6.mp418.8MB
  • 23. Building a Boltzmann Machine/11. Building a Boltzmann Machine - Step 7.mp422.91MB
  • 23. Building a Boltzmann Machine/12. Building a Boltzmann Machine - Step 8.mp429.21MB
  • 23. Building a Boltzmann Machine/13. Building a Boltzmann Machine - Step 9.mp415.27MB
  • 23. Building a Boltzmann Machine/14. Building a Boltzmann Machine - Step 10.mp424.43MB
  • 23. Building a Boltzmann Machine/15. Building a Boltzmann Machine - Step 11.mp416.69MB
  • 23. Building a Boltzmann Machine/16. Building a Boltzmann Machine - Step 12.mp430.96MB
  • 23. Building a Boltzmann Machine/17. Building a Boltzmann Machine - Step 13.mp442.98MB
  • 23. Building a Boltzmann Machine/18. Building a Boltzmann Machine - Step 14.mp440.44MB
  • 23. Building a Boltzmann Machine/3. Building a Boltzmann Machine - Introduction.mp421.07MB
  • 23. Building a Boltzmann Machine/5. Building a Boltzmann Machine - Step 1.mp421.17MB
  • 23. Building a Boltzmann Machine/6. Building a Boltzmann Machine - Step 2.mp420.84MB
  • 23. Building a Boltzmann Machine/7. Building a Boltzmann Machine - Step 3.mp418.21MB
  • 23. Building a Boltzmann Machine/8. Building a Boltzmann Machine - Step 4.mp445.65MB
  • 23. Building a Boltzmann Machine/9. Building a Boltzmann Machine - Step 5.mp411.12MB
  • 25. AutoEncoders Intuition/1. Plan of attack.mp43.36MB
  • 25. AutoEncoders Intuition/10. Deep Autoencoders.mp42.85MB
  • 25. AutoEncoders Intuition/2. Auto Encoders.mp421.55MB
  • 25. AutoEncoders Intuition/3. A Note on Biases.mp42.05MB
  • 25. AutoEncoders Intuition/4. Training an Auto Encoder.mp411.13MB
  • 25. AutoEncoders Intuition/5. Overcomplete hidden layers.mp46.42MB
  • 25. AutoEncoders Intuition/6. Sparse Autoencoders.mp411.52MB
  • 25. AutoEncoders Intuition/7. Denoising Autoencoders.mp44.74MB
  • 25. AutoEncoders Intuition/8. Contractive Autoencoders.mp44.35MB
  • 25. AutoEncoders Intuition/9. Stacked Autoencoders.mp43.64MB
  • 26. Building an AutoEncoder/1. How to get the dataset.mp46.49MB
  • 26. Building an AutoEncoder/10. Building an AutoEncoder - Step 6.mp437.92MB
  • 26. Building an AutoEncoder/11. Building an AutoEncoder - Step 7.mp433.71MB
  • 26. Building an AutoEncoder/12. Building an AutoEncoder - Step 8.mp433.83MB
  • 26. Building an AutoEncoder/13. Building an AutoEncoder - Step 9.mp431.61MB
  • 26. Building an AutoEncoder/14. Building an AutoEncoder - Step 10.mp411.26MB
  • 26. Building an AutoEncoder/15. Building an AutoEncoder - Step 11.mp428.3MB
  • 26. Building an AutoEncoder/16. THANK YOU bonus video.mp452.31MB
  • 26. Building an AutoEncoder/4. Building an AutoEncoder - Step 1.mp426.04MB
  • 26. Building an AutoEncoder/5. Building an AutoEncoder - Step 2.mp427.82MB
  • 26. Building an AutoEncoder/6. Building an AutoEncoder - Step 3.mp420.1MB
  • 26. Building an AutoEncoder/8. Building an AutoEncoder - Step 4.mp449.57MB
  • 26. Building an AutoEncoder/9. Building an AutoEncoder - Step 5.mp411.87MB
  • 28. Regression & Classification Intuition/2. Simple Linear Regression Intuition - Step 1.mp49.47MB
  • 28. Regression & Classification Intuition/3. Simple Linear Regression Intuition - Step 2.mp45.38MB
  • 28. Regression & Classification Intuition/4. Multiple Linear Regression Intuition.mp41.82MB
  • 28. Regression & Classification Intuition/5. Logistic Regression Intuition.mp429.18MB
  • 29. Data Preprocessing Template/1. Data Preprocessing - Step 1.mp413.25MB
  • 29. Data Preprocessing Template/2. Data Preprocessing - Step 2.mp415.86MB
  • 29. Data Preprocessing Template/3. Data Preprocessing - Step 3.mp421.73MB
  • 29. Data Preprocessing Template/4. Data Preprocessing - Step 4.mp428.95MB
  • 29. Data Preprocessing Template/5. Data Preprocessing - Step 5.mp422.89MB
  • 29. Data Preprocessing Template/6. Data Preprocessing - Step 6.mp422.81MB
  • 29. Data Preprocessing Template/7. Data Preprocessing Template.mp48.13MB
  • 3. ANN Intuition/1. Plan of Attack.mp44.74MB
  • 3. ANN Intuition/2. The Neuron.mp429.57MB
  • 3. ANN Intuition/3. The Activation Function.mp414.76MB
  • 3. ANN Intuition/4. How do Neural Networks work.mp423.54MB
  • 3. ANN Intuition/5. How do Neural Networks learn.mp426.55MB
  • 3. ANN Intuition/6. Gradient Descent.mp418.53MB
  • 3. ANN Intuition/7. Stochastic Gradient Descent.mp416.82MB
  • 3. ANN Intuition/8. Backpropagation.mp410.92MB
  • 30. Classification Template/1. Logistic Regression Implementation - Step 1.mp412.19MB
  • 30. Classification Template/2. Logistic Regression Implementation - Step 2.mp48.14MB
  • 30. Classification Template/3. Logistic Regression Implementation - Step 3.mp45.97MB
  • 30. Classification Template/4. Logistic Regression Implementation - Step 4.mp49.68MB
  • 30. Classification Template/5. Logistic Regression Implementation - Step 5.mp442.49MB
  • 30. Classification Template/6. Classification Template.mp411.72MB
  • 4. Building an ANN/10. Building an ANN - Step 6.mp47.06MB
  • 4. Building an ANN/11. Building an ANN - Step 7.mp48.99MB
  • 4. Building an ANN/12. Building an ANN - Step 8.mp418.18MB
  • 4. Building an ANN/13. Building an ANN - Step 9.mp416.89MB
  • 4. Building an ANN/14. Building an ANN - Step 10.mp417.44MB
  • 4. Building an ANN/2. How to get the dataset.mp46.49MB
  • 4. Building an ANN/3. Business Problem Description.mp416.37MB
  • 4. Building an ANN/5. Building an ANN - Step 1.mp424.29MB
  • 4. Building an ANN/6. Building an ANN - Step 2.mp445.87MB
  • 4. Building an ANN/7. Building an ANN - Step 3.mp48.37MB
  • 4. Building an ANN/8. Building an ANN - Step 4.mp45.96MB
  • 4. Building an ANN/9. Building an ANN - Step 5.mp429.58MB
  • 5. Homework Challenge - Should we say goodbye to that customer/2. Homework Solution.mp437.63MB
  • 6. Evaluating, Improving and Tuning the ANN/1. Evaluating the ANN.mp455.85MB
  • 6. Evaluating, Improving and Tuning the ANN/2. Improving the ANN.mp419.83MB
  • 6. Evaluating, Improving and Tuning the ANN/3. Tuning the ANN.mp450.77MB
  • 9. CNN Intuition/10. Softmax & Cross-Entropy.mp433.24MB
  • 9. CNN Intuition/2. Plan of attack.mp44.92MB
  • 9. CNN Intuition/3. What are convolutional neural networks.mp429.5MB
  • 9. CNN Intuition/4. Step 1 - Convolution Operation.mp431.02MB
  • 9. CNN Intuition/5. Step 1(b) - ReLU Layer.mp414.09MB
  • 9. CNN Intuition/6. Step 2 - Pooling.mp440.25MB
  • 9. CNN Intuition/7. Step 3 - Flattening.mp43.28MB
  • 9. CNN Intuition/8. Step 4 - Full Connection.mp442.74MB
  • 9. CNN Intuition/9. Summary.mp47.92MB