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Autoencoders

Autoencoders are an unsupervised type of network that can learn compact representation of the data features. They can be deterministic or probabilistic

Software · Tensorflow · Pytorch · Autoencoders

JAX vs Tensorflow vs Pytorch: Building a Variational Autoencoder (VAE)

A side-by-side comparison of JAX, Tensorflow and Pytorch while developing and training a Variational Autoencoder from scratch

Autoencoders · Generative Learning · Unsupervised Learning

The theory behind Latent Variable Models: formulating a Variational Autoencoder

Explaining the mathematics behind generative learning and latent variable models and how Variational Autoencoders (VAE) were formulated (code included)

Autoencoders · Unsupervised Learning · Generative Learning · Pytorch

How to Generate Images using Autoencoders

Learn what autoencoders are and build one to generate new images