Hands-On Generative Adversarial Networks with Keras
INTERACTIVE COURSE

Hands-On Generative Adversarial Networks with Keras

Beginner

80 Lessons

8h

Certificate of Completion

AI Explanations
AI Explanations
Hands-On Generative Adversarial Networks with Keras
19 Playgrounds
12 Quizzes
90 Illustrations

Takeaway Skills

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 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

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

How You'll Learn

Hands-on Coding Environments

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AI-Powered Learning

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Progress You Can Show

Built-in assessments let you test your skills. Completion certificates let you show them off.

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