Fig. 1
From: Machine learning for experimental design of ultrafast electron diffraction
CNN architecture: (a) schematic of a single WideResNet layer containing convolution and dropout elements. (b) CNN architecture composed of three blocks, each containing two WideResNet layers and a max-pool layer for representation learning, followed by a single fully-connected layer for classification of noisy diffraction patterns based on structural changes in the material.
