Variational Autoencoder From Scratch in PyTorch

Learn to implement a Variational Autoencoder (VAE) from scratch using PyTorch in this comprehensive tutorial video. Explore the model architecture, develop a training loop, and see an inference example in action. Gain hands-on experience with VAEs, a powerful generative model used in machine learning and deep learning applications. Follow along as the instructor guides you through each step of the process, from initial setup to final implementation.

- Introduction
- Model architecture
- Training loop
- Inference example
- Ending