Generative Adversarial Networks and Reinforcement Learning
Course Features
Duration
3 hours
Delivery Method
Online
Available on
Limited Access
Accessibility
Mobile, Desktop, Laptop
Language
English
Subtitles
English
Level
Intermediate
Teaching Type
Self Paced
Video Content
3 hours
Course Description
Course Overview
International Faculty
Post Course Interactions
Instructor-Moderated Discussions
Case Studies, Captstone Projects
Skills You Will Gain
Prerequisites/Requirements
A good understanding of Keras, Linear Regression and Classification and Neural Networks Principles in addition to Python programming language.
What You Will Learn
Learn about Generative Adversarial Networks, enabling the creation of realistic artificial data and images and explore Reinforcement Learning
Course Instructors
Joseph Santarcangelo
PhD., Data Scientist