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I'm not, actually. Artificial neural networks are inspired by biological neural networks, but they're really quite different.
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I'm still disappointed the ML people talk of tensors, but I barely ever even see them use a (proper) tensor product. It's all just matrix multiplication at most.
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Shock horror: different subfields have different terminology.
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I mean it's not really different terminology, matrices are order 2 tensors so we're all in agreement that they're technically doing math on tensors. It's just weird to call it tensors when you exclusively operate on matrices.
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Fermions are just matrices, which are just tensors.
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