Optimizers in Machine Learning and Deep Learning DevCourseWeb

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Uploader

FreeCourseWeb

Source

Torrent Galaxy

Language

English

Category

Other

Size

1.0 GB

Added

2024-09-11 17:49 (2 years, 1 month ago)

Peers

0 seeders, 1 leechers (checked 1 week ago) Update

Files

1. Get Bonus Downloads Here.url182 bytes
2. ~Get Your Files Here !/1 - Introduction/1 - Introduction.mp414.4 MB
3. ~Get Your Files Here !/2 - Stochastic Gradient Descent/1 - Stochastic Gradient Descent (SGD) - Intro.mp437.0 MB
4. ~Get Your Files Here !/2 - Stochastic Gradient Descent/2 - SGD with Mean Squared Error - Gradient derivation.mp423.2 MB
5. ~Get Your Files Here !/2 - Stochastic Gradient Descent/3 - SGD - Excel implementation.mp443.7 MB
6. ~Get Your Files Here !/2 - Stochastic Gradient Descent/4 - SGD - Validating excel outputs using TensorFlow.mp433.6 MB
7. ~Get Your Files Here !/2 - Stochastic Gradient Descent/5 - SGD - Pros and Cons.mp429.0 MB
8. ~Get Your Files Here !/3 - Momentum/1 - Momentum - Intro.mp46.9 MB
9. ~Get Your Files Here !/3 - Momentum/2 - Momentum - Excel implementation.mp473.6 MB
10. ~Get Your Files Here !/3 - Momentum/3 - Momentum - Validating excel outputs using TensorFlow.mp431.7 MB
11. ~Get Your Files Here !/3 - Momentum/4 - Momentum - Pros and Cons.mp45.8 MB
12. ~Get Your Files Here !/4 - NAG/1 - NAG - Intro.mp49.4 MB
13. ~Get Your Files Here !/4 - NAG/2 - NAG - Excel implementation.mp466.7 MB
14. ~Get Your Files Here !/4 - NAG/3 - NAG - Validating excel outputs using TensorFlow.mp425.4 MB
15. ~Get Your Files Here !/4 - NAG/4 - NAG - Pros and Cons.mp48.0 MB
16. ~Get Your Files Here !/5 - Adagrad/1 - Adagrad - Intro.mp480.4 MB
17. ~Get Your Files Here !/5 - Adagrad/2 - Adagrad - Excel implementation.mp4102.5 MB
18. ~Get Your Files Here !/5 - Adagrad/3 - Adagrad - Validating excel outputs using TensorFlow.mp436.3 MB
19. ~Get Your Files Here !/5 - Adagrad/4 - Adagrad - Pros and Cons.mp412.5 MB
20. ~Get Your Files Here !/6 - RMSprop/1 - RMSprop - Intro.mp414.9 MB
21. ~Get Your Files Here !/6 - RMSprop/2 - RMSprop - Excel implementation.mp419.7 MB
22. ~Get Your Files Here !/6 - RMSprop/3 - RMSprop - Validating excel outputs using TensorFlow.mp418.5 MB
23. ~Get Your Files Here !/6 - RMSprop/4 - RMSprop - Pros and Cons.mp45.2 MB
24. ~Get Your Files Here !/7 - Adam/1 - Adam - Intro.mp422.0 MB
25. ~Get Your Files Here !/7 - Adam/2 - Adam - Excel implementation.mp456.3 MB
26. ~Get Your Files Here !/7 - Adam/3 - Adam - Validating excel outputs using TensorFlow.mp429.4 MB
27. ~Get Your Files Here !/7 - Adam/4 - Adam - Pros and Cons.mp413.9 MB
28. ~Get Your Files Here !/8 - Gradient derivation for different loss and activation functions/1 - Gradient derivation - Intro.mp417.2 MB
29. ~Get Your Files Here !/8 - Gradient derivation for different loss and activation functions/2 - SGD with Mean Absolute Error.mp421.3 MB
30. ~Get Your Files Here !/8 - Gradient derivation for different loss and activation functions/3 - SGD with Root Mean Squared Error.mp425.1 MB
31. ~Get Your Files Here !/8 - Gradient derivation for different loss and activation functions/4 - SGD with ReLu Activation and Mean Absolute Error.mp470.2 MB
32. ~Get Your Files Here !/8 - Gradient derivation for different loss and activation functions/5 - SGD with Sigmoid Activation and Binary Log loss - Part 1.mp477.4 MB
33. ~Get Your Files Here !/8 - Gradient derivation for different loss and activation functions/6 - SGD with Sigmoid Activation and Binary Log loss - Part 2.mp417.0 MB
34. ~Get Your Files Here !/8 - Gradient derivation for different loss and activation functions/7 - Summary of gradients.mp43.0 MB
35. ~Get Your Files Here !/Bonus Resources.txt386 bytes

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