JAX compared to PyTorch 2: Get a feeling for JAX!

Опубликовано: 01 Октябрь 2024
на канале: Discover AI
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A simple torch.nn.Module for neural network model definition and training with gradient descent in PyTorch2 compared to a similar code implementation in JAX, in functional programming.

How to convert a stateful to a stateless operation in JAX, in functional programming? A simple coding example in JAX: regression via gradient descent, where there is one kind of state: the model parameters.

Link to documentation and free Colab NB:
https://jax.readthedocs.io/en/latest/...

https://colab.research.google.com/git...

#jax
#ai
#parallel
#computerscience
#computertipsandtricks