Abstract
This lecture overviews Deep Autoencoders that has many applications in image denoising, classification, generation and in object pose estimation. It covers the following topics in detail: unsupervised learning, autoencoder principles, deep autoencoder types (Sparse/variational/ Convolutional/Adversarial Autoencoders) and their applications.
Autoencoder structure.
Denoising autoencoder.
Deep-Autoencoders-v2.5