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File list
Udemy - Optimizers in Machine Learning and Deep Learning
~Get Your Files Here !/1 - Introduction/1 - Introduction.mp414.4 MB
~Get Your Files Here !/2 - Stochastic Gradient Descent/1 - Stochastic Gradient Descent (SGD) - Intro.mp437 MB
~Get Your Files Here !/2 - Stochastic Gradient Descent/2 - SGD with Mean Squared Error - Gradient derivation.mp423.2 MB
~Get Your Files Here !/2 - Stochastic Gradient Descent/3 - SGD - Excel implementation.mp443.7 MB
~Get Your Files Here !/2 - Stochastic Gradient Descent/4 - SGD - Validating excel outputs using TensorFlow.mp433.6 MB
~Get Your Files Here !/2 - Stochastic Gradient Descent/5 - SGD - Pros and Cons.mp429 MB
~Get Your Files Here !/3 - Momentum/1 - Momentum - Intro.mp46.9 MB
~Get Your Files Here !/3 - Momentum/2 - Momentum - Excel implementation.mp473.6 MB
~Get Your Files Here !/3 - Momentum/3 - Momentum - Validating excel outputs using TensorFlow.mp431.7 MB
~Get Your Files Here !/3 - Momentum/4 - Momentum - Pros and Cons.mp45.8 MB
~Get Your Files Here !/4 - NAG/1 - NAG - Intro.mp49.4 MB
~Get Your Files Here !/4 - NAG/2 - NAG - Excel implementation.mp466.7 MB
~Get Your Files Here !/4 - NAG/3 - NAG - Validating excel outputs using TensorFlow.mp425.4 MB
~Get Your Files Here !/4 - NAG/4 - NAG - Pros and Cons.mp48 MB
~Get Your Files Here !/5 - Adagrad/1 - Adagrad - Intro.mp480.4 MB
~Get Your Files Here !/5 - Adagrad/2 - Adagrad - Excel implementation.mp4102.5 MB
~Get Your Files Here !/5 - Adagrad/3 - Adagrad - Validating excel outputs using TensorFlow.mp436.3 MB
~Get Your Files Here !/5 - Adagrad/4 - Adagrad - Pros and Cons.mp412.5 MB
~Get Your Files Here !/6 - RMSprop/1 - RMSprop - Intro.mp414.9 MB
~Get Your Files Here !/6 - RMSprop/2 - RMSprop - Excel implementation.mp419.7 MB
~Get Your Files Here !/6 - RMSprop/3 - RMSprop - Validating excel outputs using TensorFlow.mp418.5 MB
~Get Your Files Here !/6 - RMSprop/4 - RMSprop - Pros and Cons.mp45.2 MB
~Get Your Files Here !/7 - Adam/1 - Adam - Intro.mp422 MB
~Get Your Files Here !/7 - Adam/2 - Adam - Excel implementation.mp456.3 MB
~Get Your Files Here !/7 - Adam/3 - Adam - Validating excel outputs using TensorFlow.mp429.4 MB
~Get Your Files Here !/7 - Adam/4 - Adam - Pros and Cons.mp413.9 MB
~Get Your Files Here !/8 - Gradient derivation for different loss and activation functions/1 - Gradient derivation - Intro.mp417.2 MB
~Get Your Files Here !/8 - Gradient derivation for different loss and activation functions/2 - SGD with Mean Absolute Error.mp421.3 MB
~Get Your Files Here !/8 - Gradient derivation for different loss and activation functions/3 - SGD with Root Mean Squared Error.mp425.1 MB
~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
~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
~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 MB
~Get Your Files Here !/8 - Gradient derivation for different loss and activation functions/7 - Summary of gradients.mp43 MB