YoVDO

Exploring Style GAN2 Latent Vector - Controlling Facial Properties

Offered By: Jeff Heaton via YouTube

Tags

Generative Adversarial Networks (GAN) Courses Deep Learning Courses StyleGAN2 Courses

Course Description

Overview

Delve into the inner workings of nVidia StyleGAN2 latent vectors for facial generation in this 21-minute video. Learn techniques to manipulate and control specific facial properties, such as the presence of glasses, during the generation process. Explore the Jupyter notebook provided on GitHub to understand the implementation details. Gain insights into generating faces and controlling their attributes using StyleGAN2, as demonstrated by Jeff Heaton. For those interested in further deep learning knowledge, consider exploring the linked course offered by the presenter.

Syllabus

Introduction
Exploring Style GAN2
Nvidia Style GAN2
Generating Faces
Generating Data


Taught by

Jeff Heaton

Related Courses

Neural Networks for Machine Learning
University of Toronto via Coursera
機器學習技法 (Machine Learning Techniques)
National Taiwan University via Coursera
Machine Learning Capstone: An Intelligent Application with Deep Learning
University of Washington via Coursera
Прикладные задачи анализа данных
Moscow Institute of Physics and Technology via Coursera
Leading Ambitious Teaching and Learning
Microsoft via edX