1. How to identify how many layers are right for your architecture?
2. How to perform sensitivity analysis for your architecture to know if you got the right number of neurons / layers?
3. Learning is impacted by the number of neurons & layers for your architecture?
4. Signatures of Accuracy / MAPE convergences and error convergences with changes to neurons/layers in your architecture.
All with this hands on step by step implementation in Python & Keras.

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