Variational Autoencoder (VAE) Courses and Certifications

Prodramp

All Things VQGAN - Variational AutoEncoder and VQ-VAE with Codebook Explanations - Part 2

Explains how VAEs address autoencoder limitations and how VQ-VAE uses codebooks to represent features in VQGAN.

• YouTube
• 25 minutes
• Self-Paced
• Free Video

Build a Stable Diffusion VAE From Scratch Using PyTorch

Build a Stable Diffusion variational autoencoder from scratch in PyTorch.

• freeCodeCamp
• 43 minutes
• Self-Paced
• Free Video

Deep Generative Models - Lecture 5: Variational Autoencoders

Explore Variational Autoencoders (VAEs) in deep generative modeling, covering theoretical foundations and practical applications in this comprehensive Stanford lecture.

• YouTube
• 1 hour 21 minutes
• Self-Paced
• Free Video

Deep Generative Models - Lecture 6: Variational Autoencoders

Explore Variational Autoencoders (VAEs) in deep generative modeling, covering theoretical foundations and practical applications in this Stanford lecture by Prof. Stefano Ermon.

• YouTube
• 1 hour 22 minutes
• Self-Paced
• Free Video

Paul Hand

Variational Autoencoders

Explore how variational autoencoders generate data through latent codes, balancing reconstruction accuracy and distribution regularization with the variational lower bound.

• YouTube
• 43 minutes
• Self-Paced
• Free Video

Aleksa Gordić - The AI Epiphany

VQ-VAEs - Neural Discrete Representation Learning - Paper + PyTorch Code Explained

A visual explanation of VQ-VAE’s discrete latent representations, loss, autoregressive priors, and PyTorch implementation.

• YouTube
• 35 minutes
• Self-Paced
• Free Video

Valerio Velardo - The Sound of AI

How to Implement a Variational Autoencoder in Python and Keras

Implement a Variational Autoencoder in Python and Keras, from modifying the encoder bottleneck and loss to training and visualising its latent space.

• YouTube
• 33 minutes
• Self-Paced
• Free Video

Aladdin Persson

Variational Autoencoder From Scratch in PyTorch

Build a variational autoencoder from scratch in PyTorch, train it on MNIST, and use it for inference and generation.

• YouTube
• 40 minutes
• Self-Paced
• Free Video

Data Science Courses

Variational Autoencoders and Performers in Deep Learning - Lecture 15

Delve into advanced deep learning concepts including Variational Autoencoders (VAE), variational inference, ELBO computation, and Performer-based Transformer architectures.

• YouTube
• 1 hour 13 minutes
• Self-Paced
• Free Video

Aladdin Persson

Variational Autoencoder Paper Walkthrough

Comprehensive walkthrough of the Variational AutoEncoder research paper, explaining key concepts, mathematical foundations, and practical applications in deep learning and generative modeling.

• YouTube
• 40 minutes
• Self-Paced
• Free Video

Valerio Velardo - The Sound of AI

Generating Sound Digits with a Variational Autoencoder

Use a trained variational autoencoder to generate sound-digit spectrograms and convert them into audio.

• YouTube
• 35 minutes
• Self-Paced
• Free Video

Valerio Velardo - The Sound of AI

From Autoencoders to Variational Autoencoders - Improving the Encoder

Learn how multivariate normal distributions transform vanilla autoencoders into variational autoencoders with smoother latent spaces for generative tasks.

• YouTube
• 26 minutes
• Self-Paced
• Free Video

Graham Neubig

CMU Advanced NLP 2021 - Latent Variable Models

Explore variational autoencoders for NLP, including evidence lower bounds, discrete latent variables, and sentence generation.

• YouTube
• 1 hour 19 minutes
• Self-Paced
• Free Video

Graham Neubig

Neural Nets for NLP - Models with Latent Random Variables

Explains how variational autoencoders model latent variables in NLP, including reparameterization, discrete sampling, and informative latent representations.

• YouTube
• 41 minutes
• Self-Paced
• Free Video

Graham Neubig

CMU Advanced NLP 2022 - Latent Variable Models

Explore latent variable models for NLP, including variational autoencoders, discrete latent variables, reparameterization, and sampling.

• YouTube
• 1 hour 11 minutes
• Self-Paced
• Free Video