Machine Learning, Artificial Intelligence, Graph Neural Networks, Deep Learning, Data Science.
input. The MNIST dataset contains grayscale images and each image has a shape of 28 by 28 pixels. The encoder takes this image and converts it to a lower-dimensional embedding Z. The decoder takes the embedding Z and returns a reconstructed input image, which is the output of the autoencoder. Loss