1 paper · 1 filter
Egor Bakaev, Florestan Brunck, Christoph Hertrich +2
This work studies the expressivity of ReLU neural networks with a focus on their depth. A sequence of previous works showed that ⌈log2(n+1)⌉ hidden layers are suffi…