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Alice’s Adventures in a Differentiable Wonderland

Categories Neural networks

This primer introduces neural-network design through differentiable programming, connecting mathematical ideas with implementations in PyTorch and JAX. It covers optimization and automatic differentiation, then develops convolutional, recurrent, and attention-based designs for sequences, graphs, text, and audio.