How to Regularizing with Weight & Activation Regularizations | Deep Learning

Опубликовано: 21 Январь 2021
на канале: Machine Learning Mastery

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1. How to regularize neural networks using Weight and Activation Regularizations.
2. How Weight & Activity Regularizations are two sides of the same coin.
3. What are the signatures of Activation distribution for your architecture and How to understand if you are correctly optimizing your hyper parameters for regularization
4. Identify the signature of "optimal" Activation distributions using first & last layer distributions.
5. Find the regularization hyper parameters via a grid search.
All with this hands on step by step implementation in Python & Keras.

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