this post was submitted on 25 Nov 2023
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Machine Learning
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I'm not very knowledgeable in this realm, so somebody clue me in. I always thought of JAX as targeted towards more "bespoke" stuff, is there any advantage to using it in a high-level way instead of Torch or TF? Anything in the performance or ecosystem etc?
Saves time when creating neural nets. If you want to utilize subsets of its speed and not spend hours analysing training methods, Keras can be a good addition. Other than that, Flax is probably the best way for full tkinter while having an abstraction better than a NumPy like api.