Learn about generative AI concepts with the best 5 books for understanding ideas and influence the future

A branch of artificial intelligence called generative AI is revolutionizing our understanding of and interactions with technology. Deep Learning and Neural Networks are used in the ideas of Generative AI to produce new, unique content. This can be text, music, artwork, and even 3D models. Through the utilization of Neural Networks, Generative AI systems can generate new instances and learn from preexisting data, hence expanding the frontiers of creativity and invention. Here are 5 books on generative AI concepts that will teach you:

1. Generative AI: The Complete Guide to Generative Artificial Intelligence:

This book offers a thorough analysis of the background, uses, and difficulties of generative artificial intelligence. A variety of generative AI methods are also covered, including transformers, variational autoencoders (VAEs), and generative adversarial networks (GANs). To help you become an expert in generative AI, the book contains exercises and real-world examples.

2. Generative AI for Professional Education & Practice:

The fascinating nexus between generative AI and several fields, including technology, engineering, and management, is explored in this five-book series. Prompt engineering, a technique that leverages generative AI models to supplement and improve conventional methods, is introduced in each volume. To highlight the potential of generative AI across many industries, the books also provide case studies and best practices.

3. Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play:

You'll learn how to build generative models with deep learning in this book, which can generate imaginative and realistic material. Subjects including picture synthesis, music creation, style transfer, and natural language production are covered in the book. You can create your generative models with TensorFlow and Keras by following the tutorials and code examples in the book.

4. Generative Design: Visualize, Program, and Create with Processing:

This book explains the technique of generative design, which is the application of rules and algorithms to the creation of intricate and varied structures. Topics including motion, typography, color, and shape are all covered in the book. Using Processing, a computer language for visual arts, the book also offers tasks and code examples to assist you in producing your generative creations.

5. GANs in Action:

In this book, you will learn how to build your generative models, work with and create images, and use GANs for tasks such as style transfer and data augmentation. It is a priceless tool for aspiring generative AI practitioners, full of practical examples and real-world use cases.