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Livebook's big launch week (Changelog Interviews #538)
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How to Write a Neural Network in Python
One of our inspirations is Google Jax, which is a library for machine learning from Google. For example, so they want to build this graph, which is all the operations that you want to do in this neural network. And then you can apply with to run or on the GPU or on the CPU very efficiently. So we have like a subset of a lickser that compiles to, to theGPU and you can write it not exactly as Alex or code, but you can break things into functions.
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