Summary: TensorBoard and State Handling
Explore how to use TensorBoard for logging images, text, and performance metrics in Flax projects. Understand implementing BatchNorm and DropOut layers, creating custom training states, and saving or loading models to effectively evaluate and manage deep learning workflows with JAX and Flax.
We'll cover the following...
We'll cover the following...
Recap
In this chapter, we saw how we can use TensorBoard to log our experiments in Flax. We have also seen how to build networks in Flax containing the BatchNorm and DropOut ...