Understanding Compression of Convolutional Neural Nets: Part 3 This is the final post of a three part series on compressing convolutional neural networks. As indicated in the previous blogs.
Understanding Compression of Convolutional Neural Nets: Part 1 There are neural network applications where the resources, for example compute power, memory space, battery power etc., are limited. In such.
Groups Parameter of the Convolution Layer One of the convolution layer’s parameters in PyTorch is the groups parameter. This parameter controls the connections between the input and output channels. .