Generative Adversarial Networks and Reinforcement Learning

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Course Features

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Duration

3 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

3 hours

Course Description

Generative adversarial network (GANs) as well as reinforcement Learning (RL) can be among the most sought-after on jobs. Businesses across a variety of industries are seeking professionals who are able to harness the power for these technology to create forward innovation and tackle complex issues. Learn why GANs are being praised as game changers, providing the capability to create real-life content and transform areas like medicine, art and many other fields. Discover the reasons why RL is the foundation of AI advancements, ranging including autonomous vehicle driving, games-playing AI. If you can master GANs and RL, you'll be an asset to have in the current AI-driven society. Find out more about Generative Adversarial Networks, enabling the creation of authentic artificial images and data, and investigate Reinforcement Learning to teach AI agents how to adapt and learn to different situations. If you're an artist designer, or creator of content You can make use of GANs to create unique music, artwork and much more. Imagine creating completely new styles of art or creating stunning images for your projects. The possibilities are limitless. With Rl, you can create AI agents that learn from their surroundings and can help them excel in challenging tasks such as playing games, maximizing the allocation of resources, and even providing personalised suggestions. IBM offers a special deal for watsonx.ai an online studio that is devoted to developing the development of new models for foundations including generative AI, machine learning. To avail this deal, visit .

Course Overview

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International Faculty

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Post Course Interactions

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Instructor-Moderated Discussions

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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

Joseph Santarcangelo is currently working as a Data Scientist at IBM. Joseph has a Ph.D. in Electrical Engineering. His research focused on using machine learning, signal processing, and computer vision to determine how videos impact human cognition.

Artem Arutyunov

Data Scientist

Hey, Artem here! I am excited about answering new challenges with data science, machine learning and especially Reinforcement Learning. Love helping people to learn, and learn myself. Studying Math a...
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