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Re:Any Deep ReLU Network Is Shallow by visarga on Friday June 23, 2023 @06:45PM (#36453234)
> So any N-layer network with the relu _/ activation function

The paper talks only about models with additive operations among activations. It doesn't say anything about more complex networks like transformers.

In transformers there are multiplicative interactions between activations inside the attention matrix, it is unclear if they can be approximated with just a 3 layer ReLU network, or if such conversion would be practical at all.

Re:Any Deep ReLU Network Is Shallow by uoaei on Saturday June 24, 2023 @02:39AM (#36456190)
It would be very surprising if this result was relevant for transformers considering the softmax that's present there.
Re:Any Deep ReLU Network Is Shallow by visarga on Saturday June 24, 2023 @04:36AM (#36456753)
true