Hands-On Generative Adversarial Networks with Keras

Master GANs across various levels, from foundational principles to advanced applications in computer vision, NLP, and audio processing.

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

Explanations

AI-POWERED

Explanations

This course includes

19 Playgrounds
12 Quizzes

This course includes

19 Playgrounds
12 Quizzes

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

What You'll Learn

An understanding of generative adversarial networks and its application to artificial intelligence

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Course Content

1

Getting Started

2

Deep Learning Basics and Environment Test

3

Introduction to Generative Models

4

Implementing Our First GAN

5

Evaluating Our First GAN

6

Improving Our First GAN

8 Lessons

7

Synthesizing and Manipulating Images with GANs

7 Lessons

8

Progressive Growing of GANs

6 Lessons

9

Generation of Discrete Sequences Using GANs

7 Lessons

10

Text-to-Image Synthesis with GANs

7 Lessons

11

Speech Enhancement with GANs

6 Lessons

12

TequilaGAN—Identifying GAN Samples

6 Lessons

13

What’s Next in GANs

6 Lessons

14

Conclusion

1 Lesson

15

Appendix

1 Lesson

Course Author

Trusted by 1.4 million developers working at companies

Anthony Walker

@_webarchitect_

Emma Bostian 🐞

@EmmaBostian

Evan Dunbar

ML Engineer

Carlos Matias La Borde

Software Developer

Souvik Kundu

Front-end Developer

Vinay Krishnaiah

Software Developer

Eric Downs

Musician/Entrepeneur

Kenan Eyvazov

DevOps Engineer

Anthony Walker

@_webarchitect_

Emma Bostian 🐞

@EmmaBostian

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