1. How to identify the right initial values of Learning Rates for your architecture.
2. Why Learning Rate Scheduling is important and How to implement it.
3. How to run sensitivity analysis on your network architecture to understand if you have got the right learning rate, scheduling and optimizers.
4. How optimizers make a difference in your learning convergence & what are they dependent on?
All with this hands on step by step implementation in Python & Keras.
My AI and Generative AI Courses are details here:
https://ai.generativeminds.co
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