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Solution: LSTM in JAX and Flax

Explore how to implement LSTM models in JAX and Flax by understanding layer construction, creating training states with optimizers, and defining train and evaluation steps. This lesson guides you through building an LSTM solution with practical code examples and performance optimization techniques.

Let’s look at the solution for each function one by one.

LSTM model

As we saw in previous lessons, the LSTM model contains the following layers:

  • An Embedding layer with the same number of features and length as defined in the vectorization layer
  • LSTM layers that pass data in one direction as specified by the reverse argument
  • A couple
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