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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.

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Problem statement

Using the JAX library, we have implemented a vanilla convolutional neural ...