YoVDO

Variational Autoencoder From Scratch in PyTorch

Offered By: Aladdin Persson via YouTube

Tags

Variational Autoencoder (VAE) Courses Deep Learning Courses PyTorch Courses Inference Courses Variational Autoencoders Courses

Course Description

Overview

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.

Syllabus

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


Taught by

Aladdin Persson

Related Courses

GenAI and Model Selection
Coursera Instructor Network via Coursera Generative AI and LLMs: Architecture and Data Preparation
IBM via Coursera Recommender Systems Complete Course Beginner to Advanced
Packt via Coursera Image Compression and Generation using Variational Autoencoders in Python
Coursera Project Network via Coursera What Is Generative AI?
LinkedIn Learning