A handbook to demystify algorithmic differentiation ↦
Never heard of algorithmic differentiation? It’s the tool that “underlies modern machine learning”. I learned that from reading the intro to this handbook, btw.
It begins with a calculus-101 style understanding and gradually extends this to build toy implementations of systems similar to PyTorch and TensorFlow.
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