YoVDO

Building a GAN From Scratch With PyTorch - Theory + Implementation

Offered By: AssemblyAI via YouTube

Tags

Generative Adversarial Networks (GAN) Courses Machine Learning Courses Deep Learning Courses PyTorch Courses Model Training Courses PyTorch-Lightning Courses

Course Description

Overview

Dive into a comprehensive 32-minute video tutorial on building a Generative Adversarial Network (GAN) from scratch using PyTorch and PyTorch Lightning. Explore GAN theory, set up PyTorch Lightning, implement the Generator and Discriminator components, and learn the intricacies of GAN training. Follow along with provided starter code in Google Colab and leverage additional resources for deeper understanding. Conclude with testing your newly created GAN model and gain practical insights into machine learning and deep learning concepts.

Syllabus

Intro
GAN Theory
PyTorch Lightning Setup
Generator + Discriminator
GAN Training
Testing


Taught by

AssemblyAI

Related Courses

Introduction to Artificial Intelligence
Stanford University via Udacity Natural Language Processing
Columbia University via Coursera Probabilistic Graphical Models 1: Representation
Stanford University via Coursera Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent