[ DevCourseWeb.com ] Udemy - Optimizers in Machine Learning and Deep Learning
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- ~Get Your Files Here !/5 - Adagrad/2 - Adagrad - Excel implementation.mp4 102.5 MB
- ~Get Your Files Here !/5 - Adagrad/1 - Adagrad - Intro.mp4 80.4 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.mp4 77.4 MB
- ~Get Your Files Here !/3 - Momentum/2 - Momentum - Excel implementation.mp4 73.6 MB
- ~Get Your Files Here !/8 - Gradient derivation for different loss and activation functions/4 - SGD with ReLu Activation and Mean Absolute Error.mp4 70.2 MB
- ~Get Your Files Here !/4 - NAG/2 - NAG - Excel implementation.mp4 66.7 MB
- ~Get Your Files Here !/7 - Adam/2 - Adam - Excel implementation.mp4 56.3 MB
- ~Get Your Files Here !/2 - Stochastic Gradient Descent/3 - SGD - Excel implementation.mp4 43.7 MB
- ~Get Your Files Here !/2 - Stochastic Gradient Descent/1 - Stochastic Gradient Descent (SGD) - Intro.mp4 37.0 MB
- ~Get Your Files Here !/5 - Adagrad/3 - Adagrad - Validating excel outputs using TensorFlow.mp4 36.3 MB
- ~Get Your Files Here !/2 - Stochastic Gradient Descent/4 - SGD - Validating excel outputs using TensorFlow.mp4 33.6 MB
- ~Get Your Files Here !/3 - Momentum/3 - Momentum - Validating excel outputs using TensorFlow.mp4 31.7 MB
- ~Get Your Files Here !/7 - Adam/3 - Adam - Validating excel outputs using TensorFlow.mp4 29.4 MB
- ~Get Your Files Here !/2 - Stochastic Gradient Descent/5 - SGD - Pros and Cons.mp4 29.0 MB
- ~Get Your Files Here !/4 - NAG/3 - NAG - Validating excel outputs using TensorFlow.mp4 25.4 MB
- ~Get Your Files Here !/8 - Gradient derivation for different loss and activation functions/3 - SGD with Root Mean Squared Error.mp4 25.1 MB
- ~Get Your Files Here !/2 - Stochastic Gradient Descent/2 - SGD with Mean Squared Error - Gradient derivation.mp4 23.2 MB
- ~Get Your Files Here !/7 - Adam/1 - Adam - Intro.mp4 22.0 MB
- ~Get Your Files Here !/8 - Gradient derivation for different loss and activation functions/2 - SGD with Mean Absolute Error.mp4 21.3 MB
- ~Get Your Files Here !/6 - RMSprop/2 - RMSprop - Excel implementation.mp4 19.7 MB
- ~Get Your Files Here !/6 - RMSprop/3 - RMSprop - Validating excel outputs using TensorFlow.mp4 18.5 MB
- ~Get Your Files Here !/8 - Gradient derivation for different loss and activation functions/1 - Gradient derivation - Intro.mp4 17.2 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.mp4 17.0 MB
- ~Get Your Files Here !/6 - RMSprop/1 - RMSprop - Intro.mp4 14.9 MB
- ~Get Your Files Here !/1 - Introduction/1 - Introduction.mp4 14.4 MB
- ~Get Your Files Here !/7 - Adam/4 - Adam - Pros and Cons.mp4 13.9 MB
- ~Get Your Files Here !/5 - Adagrad/4 - Adagrad - Pros and Cons.mp4 12.5 MB
- ~Get Your Files Here !/4 - NAG/1 - NAG - Intro.mp4 9.4 MB
- ~Get Your Files Here !/4 - NAG/4 - NAG - Pros and Cons.mp4 8.0 MB
- ~Get Your Files Here !/3 - Momentum/1 - Momentum - Intro.mp4 6.9 MB
- ~Get Your Files Here !/3 - Momentum/4 - Momentum - Pros and Cons.mp4 5.8 MB
- ~Get Your Files Here !/6 - RMSprop/4 - RMSprop - Pros and Cons.mp4 5.2 MB
- ~Get Your Files Here !/8 - Gradient derivation for different loss and activation functions/7 - Summary of gradients.mp4 3.0 MB
- ~Get Your Files Here !/Bonus Resources.txt 386 bytes
- Get Bonus Downloads Here.url 182 bytes
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