Keras 3: Comprehensive Insights into Keras for Deep Learning and AI Solutions

Rheinwerk Publishing, Inc · Mohammad Nauman

Apr 2026 · Packt Publishing Ltd

Ebook

633

Pages

Tools

About this ebook

Learn deep learning with Keras, from setting up your environment to advanced topics like reinforcement learning and generative AI. Build, train, and optimize models for a wide range of applications.Key Features

Step-by-step guidance on setting up Keras and TensorFlow.
Practical examples of deep learning concepts, including CNNs and reinforcement learning.
Advanced techniques for building generative models, transformers, and diffusion models.

Book DescriptionThis book provides a comprehensive guide to mastering deep learning with Keras 3, starting from the fundamentals of machine learning and neural networks to advanced techniques in reinforcement learning, transformers, and generative AI. Readers will begin with understanding the core principles of machine learning, including supervised, unsupervised, and reinforcement learning. The book explains how neural networks function and how to build them using Keras, TensorFlow, and Python. You'll dive into critical topics such as convolutional neural networks (CNNs), dropout regularization, and gradient descent optimization. As you progress, you’ll learn advanced deep learning concepts like transfer learning, transformers, and the powerful Keras Functional API for building complex models. There’s a focus on practical applications, such as building and evaluating deep learning models for real-world tasks, and enhancing models using GPU acceleration. You'll also explore generative models, including autoencoders and GANs, and apply them to tasks like image generation and data augmentation. By the end of the book, you’ll be able to implement state-of-the-art AI models and deploy them in production environments.What you will learn

Install and set up Keras and TensorFlow for machine learning projects
Understand machine learning, supervised, unsupervised, and reinforcement learning
Implement deep learning models using Keras
Master convolutional neural networks (CNNs)
Build complex models with Keras Functional API
Learn to implement and train transformers and reinforcement learning algorithms

Who this book is for

This book is ideal for data scientists, AI engineers, machine learning practitioners, and developers who want to dive into deep learning with Keras. A basic understanding of Python and machine learning concepts is helpful. It’s suitable for those starting with deep learning as well as experienced developers looking to implement complex AI models.

Learn deep learning with Keras, from setting up your environment to advanced topics like reinforcement learning and generative AI. Build, train, and optimize models for a wide range of applications.Key Features Step-by-step guidance on setting up Keras and TensorFlow. Practical examples of deep l...

Discover more

About the author

The Rheinwerk Computing series offers new and established professional comprehensive guidance to enrich the readers' skillsets and enhance their career prospects. Their publications are written by leading experts in the fields of programming, administration, security, analytics, and more. Each book is detailed and hands-on to help readers develop essential, practical skills that they can apply to their daily work.

Dr. Mohammad Nauman is a seasoned machine learning expert with more than 20 years of teaching experience and a track record of educating more than 40,000 students globally through his online courses on platforms like Udemy and YouTube. He holds a PhD in computer science and was a post-doctoral fellow at the Max Planck Institute for Software Systems in Germany. His groundbreaking post-doc research focused on applying machine learning to advance security and privacy solutions. Dr. Nauman's teaching philosophy—rooted in bridging theory and practice—empowers learners to master tools while building robust foundational skills, whether in academic settings or through his widely accessible digital programs.

Rate this ebook

Tell us what you think.

Reading information

Smartphones and tablets

Install the Google Play Books app for Android and iPad/iPhone. It syncs automatically with your account and allows you to read online or offline wherever you are.

Laptops and computers

You can listen to audiobooks purchased on Google Play using your computer's web browser.

eReaders and other devices

To read on e-ink devices like Kobo eReaders, you'll need to download a file and transfer it to your device. Follow the detailed Help Center instructions to transfer the files to supported eReaders.

Flag as inappropriate