CourseClub NET Udacity Learn all the essentials for AI programming with Python v2

/Part 07-Module 01-Lesson 03_Training Neural Networks/13. Batch vs Stochastic Gradient Descent.html

/Part 07-Module 01-Lesson 03_Training Neural Networks/13. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.mp4

/Part 07-Module 01-Lesson 03_Training Neural Networks/13. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.en.vtt

/Part 07-Module 01-Lesson 03_Training Neural Networks/13. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.pt-BR.vtt

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/Part 07-Module 01-Lesson 03_Training Neural Networks/11. Vanishing Gradient.html

/Part 07-Module 01-Lesson 03_Training Neural Networks/12. Other Activation Functions.html

/Part 07-Module 01-Lesson 03_Training Neural Networks/14. Learning Rate Decay.html

/Part 07-Module 01-Lesson 01_Introduction to Neural Networks/28. Perceptron vs Gradient Descent.html

/Part 07-Module 01-Lesson 03_Training Neural Networks/05. Early Stopping.html

/Part 07-Module 01-Lesson 03_Training Neural Networks/10. Random Restart.html

/Part 07-Module 01-Lesson 03_Training Neural Networks/16. Error Functions Around the World.html

/Part 07-Module 01-Lesson 01_Introduction to Neural Networks/27. Notebook Gradient Descent.html

/Part 07-Module 01-Lesson 03_Training Neural Networks/02. Training Optimization.html

/Part 07-Module 01-Lesson 03_Training Neural Networks/07. Regularization 2.html

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