Beginner
80 Lessons
8h
Certificate of Completion
Master GANs across various levels, from foundational principles to advanced applications in computer vision, NLP, and audio processing.
AI-POWERED
This course includes
This course includes
Course Overview
This course focuses on generative adversarial networks (GANs), which have reshaped machine learning and deep learning landscapes. This course also aims to provide a comprehensive introduction to GANs, starting with a deep dive into deep learning and generative models and their extensive applications in artificial intelligence. You will start by getting an overview of deep learning and generative models. You will then explore the wide-ranging applications where GANs can be utilized. You will get hands-on ex...Show More
What You'll Learn
An understanding of generative adversarial networks and its application to artificial intelligence
Working knowledge of developing, evaluating, and improving GANs
Hands-on experience in training GAN models to produce and improve high-resolution images
The ability to generate natural language and speech enhancement using GAN models
Course Content
Getting Started
Deep Learning Basics and Environment Test
Introduction to Generative Models
Implementing Our First GAN
Evaluating Our First GAN
Improving Our First GAN
8 Lessons
Synthesizing and Manipulating Images with GANs
7 Lessons
Progressive Growing of GANs
6 Lessons
Generation of Discrete Sequences Using GANs
7 Lessons
Text-to-Image Synthesis with GANs
7 Lessons
Speech Enhancement with GANs
6 Lessons
TequilaGAN—Identifying GAN Samples
6 Lessons
What’s Next in GANs
6 Lessons
Conclusion
1 Lesson
Appendix
1 Lesson
How You'll Learn
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