this post was submitted on 25 Nov 2023
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Machine Learning
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Libraries like PyTorch and Jax are already high level libraries in my view. The low level stuff is C++/CUDA/XLA.
I don’t really see the useful extra abstractions in Keras that would lure me to it.
What about not having to write your own training loop? Keras takes away a lot of boilerplate code, it makes your code more readable and less likely to contain bugs. I would compare it to scikit-learn: Sure, you can implement your own Random Forest, but why bother?
The reality is that you nearly always need to break into that training abstraction, and so it is useless.