Skip to main content
Have a personal or library account? Click to login
Generative Deep Learning with Python Cover

Generative Deep Learning with Python

Unleashing the Creative Power of AI by Mastering AI and Python

Publisher:Packt Publishing Limited
By:   
Paid access
|Sep 2024
Product purchase options
Description

Dive into the world of Generative Deep Learning with Python, mastering GANs, VAEs, & autoregressive models through projects & advanced topics. Gain practical skills & theoretical knowledge to create groundbreaking AI applications.

Key Features

  • Comprehensive coverage of deep learning and generative models.
  • In-depth exploration of GANs, VAEs, & autoregressive models & advanced topics in generative AI.
  • Practical coding exercises & interactive assignments to build your own generative models.

Book Description

Generative Deep Learning with Python opens the door to the fascinating world of AI where machines create. This course begins with an introduction to deep learning, establishing the essential concepts and techniques. You will then delve into generative models, exploring their theoretical foundations and practical applications. As you progress, you will gain a deep understanding of Generative Adversarial Networks (GANs), learning how they function and how to implement them for tasks like face generation.

The course's hands-on projects, such as creating GANs for face generation and using Variational Autoencoders (VAEs) for handwritten digit generation, provide practical experience that reinforces your learning. You'll also explore autoregressive models for text generation, allowing you to see the versatility of generative models across different types of data. Advanced topics will prepare you for cutting-edge developments in the field.

Throughout your journey, you will gain insights into the future landscape of generative deep learning, equipping you with the skills to innovate and lead in this rapidly evolving field. By the end of the course, you will have a solid foundation in generative deep learning and be ready to apply these techniques to real-world challenges, driving advancements in AI and machine learning.

What you will learn

  • Develop a detailed understanding of deep learning fundamentals
  • Implement and train Generative Adversarial Networks (GANs)
  • Create & utilize Variational Autoencoders for data generation
  • Apply autoregressive models for text generation
  • Explore advanced topics & stay ahead in the field of generative AI
  • Analyze and optimize the performance of generative models

Who this book is for

This course is designed for technical professionals, data scientists, and AI enthusiasts who have a foundational understanding of deep learning and Python programming. It is ideal for those looking to deepen their expertise in generative models and apply these techniques to innovative projects. Prior experience with neural networks and machine learning concepts is recommended to maximize the learning experience. Additionally, research professionals and advanced practitioners in AI seeking to explore generative deep learning applications will find this course highly beneficial.

Table of Contents

  1. Introduction to Deep Learning
  2. Understanding Generative Models
  3. Deep Dive into Generative Adversarial Networks (GANs)
  4. Project: Face Generation with GANs
  5. Exploring Variational Autoencoders (VAEs)
  6. Project: Handwritten Digit Generation with VAEs
  7. Understanding Autoregressive Models
  8. Project: Text Generation with Autoregressive Models
  9. Advanced Topics in Generative Deep Learning
  10. Navigating the Future Landscape of Generative Deep Learning
PDF ISBN: 978-1-83620-712-2
Publisher: Packt Publishing Limited
Copyright owner: © 2024 Packt Publishing Limited
Publication date: 2024
Language: English
Pages: 276
Related subjects:
Computer sciences,
Computer sciences, other

People also read

Book

Generative AI with Python and TensorFlow 2

Joseph Babcock, Raghav Bali
Book
New

Generative AI with Python

Rheinwerk Publishing, Inc, Bert Gollnick
Book

A Generative Journey to AI

Toni Ramchandani
Book

Generative Adversarial Networks Projects

Kailash Ahirwar
Book

Generative AI with Python and PyTorch

Joseph Babcock, Raghav Bali
Book
Coming soon

Hands-On Generative Adversarial Networks with Keras

Rafael Valle Valle
Book

Generative Adversarial Networks Cookbook

Josh Kalin
Book

Generative AI Essentials

Dr. Priyanka Singh, Hariom Singh
Book

Hands-On Generative Adversarial Networks with PyTorch 1.x

John Hany Hany, Greg Walters
Book

Learn Python Generative AI

Zonunfeli Ralte, Indrajit Kar