1. How to identify if you are facing a Vanishing or Exploding Gradient problem. Take a classification example and understand the signature of convergence with and without gradient problems.
2. Fix Vanishing Gradient with Relu & correct Weight Initializations.
3. What causes exploding gradient? Take a regression example & analyze how it looks when we do sensitivity analysis on the architecture.
4. Fix exploding gradient with Gradient Normalization and retest convergence with sensitivity analysis.
All with this hands on step by step implementation in Python & Keras.
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