[ DevCourseWeb.com ] Udemy - Optimizers in Machine Learning and Deep Learning
| Creation Time | Total Size | Total Files | Info Hash |
|---|---|---|---|
| 2025-01-15 00:17:50 | 1.03 GB | 35 | 76FE3D38FB169190423408FBAAB0A49D0F206134 |
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- Get Bonus Downloads Here.url182 B
- ~Get Your Files Here !/1 - Introduction/1 - Introduction.mp414.43 MB
- ~Get Your Files Here !/2 - Stochastic Gradient Descent/1 - Stochastic Gradient Descent (SGD) - Intro.mp437.04 MB
- ~Get Your Files Here !/2 - Stochastic Gradient Descent/2 - SGD with Mean Squared Error - Gradient derivation.mp423.23 MB
- ~Get Your Files Here !/2 - Stochastic Gradient Descent/3 - SGD - Excel implementation.mp443.72 MB
- ~Get Your Files Here !/2 - Stochastic Gradient Descent/4 - SGD - Validating excel outputs using TensorFlow.mp433.64 MB
- ~Get Your Files Here !/2 - Stochastic Gradient Descent/5 - SGD - Pros and Cons.mp428.99 MB
- ~Get Your Files Here !/3 - Momentum/1 - Momentum - Intro.mp46.92 MB
- ~Get Your Files Here !/3 - Momentum/2 - Momentum - Excel implementation.mp473.59 MB
- ~Get Your Files Here !/3 - Momentum/3 - Momentum - Validating excel outputs using TensorFlow.mp431.71 MB
- ~Get Your Files Here !/3 - Momentum/4 - Momentum - Pros and Cons.mp45.76 MB
- ~Get Your Files Here !/4 - NAG/1 - NAG - Intro.mp49.44 MB
- ~Get Your Files Here !/4 - NAG/2 - NAG - Excel implementation.mp466.69 MB
- ~Get Your Files Here !/4 - NAG/3 - NAG - Validating excel outputs using TensorFlow.mp425.41 MB
- ~Get Your Files Here !/4 - NAG/4 - NAG - Pros and Cons.mp47.99 MB
- ~Get Your Files Here !/5 - Adagrad/1 - Adagrad - Intro.mp480.40 MB
- ~Get Your Files Here !/5 - Adagrad/2 - Adagrad - Excel implementation.mp4102.46 MB
- ~Get Your Files Here !/5 - Adagrad/3 - Adagrad - Validating excel outputs using TensorFlow.mp436.29 MB
- ~Get Your Files Here !/5 - Adagrad/4 - Adagrad - Pros and Cons.mp412.50 MB
- ~Get Your Files Here !/6 - RMSprop/1 - RMSprop - Intro.mp414.90 MB
- ~Get Your Files Here !/6 - RMSprop/2 - RMSprop - Excel implementation.mp419.67 MB
- ~Get Your Files Here !/6 - RMSprop/3 - RMSprop - Validating excel outputs using TensorFlow.mp418.50 MB
- ~Get Your Files Here !/6 - RMSprop/4 - RMSprop - Pros and Cons.mp45.19 MB
- ~Get Your Files Here !/7 - Adam/1 - Adam - Intro.mp421.99 MB
- ~Get Your Files Here !/7 - Adam/2 - Adam - Excel implementation.mp456.29 MB
- ~Get Your Files Here !/7 - Adam/3 - Adam - Validating excel outputs using TensorFlow.mp429.37 MB
- ~Get Your Files Here !/7 - Adam/4 - Adam - Pros and Cons.mp413.90 MB
- ~Get Your Files Here !/8 - Gradient derivation for different loss and activation functions/1 - Gradient derivation - Intro.mp417.19 MB
- ~Get Your Files Here !/8 - Gradient derivation for different loss and activation functions/2 - SGD with Mean Absolute Error.mp421.25 MB
- ~Get Your Files Here !/8 - Gradient derivation for different loss and activation functions/3 - SGD with Root Mean Squared Error.mp425.10 MB
- ~Get Your Files Here !/8 - Gradient derivation for different loss and activation functions/4 - SGD with ReLu Activation and Mean Absolute Error.mp470.23 MB
- ~Get Your Files Here !/8 - Gradient derivation for different loss and activation functions/5 - SGD with Sigmoid Activation and Binary Log loss - Part 1.mp477.35 MB
- ~Get Your Files Here !/8 - Gradient derivation for different loss and activation functions/6 - SGD with Sigmoid Activation and Binary Log loss - Part 2.mp417.01 MB
- ~Get Your Files Here !/8 - Gradient derivation for different loss and activation functions/7 - Summary of gradients.mp43.04 MB
- ~Get Your Files Here !/Bonus Resources.txt386 B