On the impact of the parametrization of deep convolutional neural networks on post-training quantization

Samy Houache, Jean François Aujol, Yann Traonmilin

This paper introduces novel theoretical approximation bounds for the output of quantized neural networks, with a focus on convolutional neural networks (CNN). By considering layerw…