Autoencoder in PyTorch - Theory & Implementation

Learn about Autoencoders and how to implement them in PyTorch through this 30-minute Deep Learning Tutorial. The course covers the theory behind Autoencoders, data loading, building a simple Autoencoder, creating a training loop, plotting images, implementing a CNN Autoencoder, and includes an exercise for practical application. The course aims to teach students how Autoencoders work and how to implement them using PyTorch. The intended audience for this course includes individuals interested in deep learning, specifically in the application of Autoencoders using PyTorch.