A representation of a convolutional autoencoder (CAE) architecture, leveraging 3D cubes and redrawing to illustrate the differences in feature map sizes and counts.
Unsupervised methods: Diving deep into autoencoders, Introduction to Deep Learning (COMPGI23), University College London