This code pattern explains how to classify an American Sign Language (ASL) alphabet using PyTorch and deep learning networks. It uses a pretrained model from the PyTorch models zoo and retrains the last part of the network. The code pattern uses PyTorch to build and train a deep learning model to classify images to 29 classes (26 ASL alphabet, space, Del, and nothing), which can be used later to help hard-of-hearing people communicate with others as well as with computers. The pattern uses a pretrained mobile network, defines a classifier, and connects it to network. It then trains this classifier along with some of the last blocks of the network on the data set.