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Building a GAN From Scratch With PyTorch - Theory + Implementation

AssemblyAI via YouTube

Overview

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Learn how to create a Generative Adversarial Network (GAN) from scratch using PyTorch and PyTorch Lightning. The course covers GAN theory, PyTorch Lightning setup, building a generator and discriminator, GAN training, and testing. The teaching method involves practical implementation with a provided Colab notebook. This course is intended for individuals interested in machine learning, deep learning, and specifically in understanding and working with GANs.

Syllabus

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

Taught by

AssemblyAI

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