Challenge: Optimizers
Explore the application of SGD and AdaBelief optimizers on a convolutional neural network using JAX and Flax. Learn to initialize these optimizers, monitor loss variations, and evaluate which optimizer yields better training performance in this scenario.
We'll cover the following...
We'll cover the following...
Problem statement
Using the JAX library, we have implemented a vanilla convolutional neural ...