Generative AI: A comprehensive guide to understanding and implementing Generative AI

Generative AI: A comprehensive guide to understanding and implementing Generative AI

by Et Tu Code

Narrated by Helen Green

Unabridged — 2 hours, 38 minutes

Generative AI: A comprehensive guide to understanding and implementing Generative AI

Generative AI: A comprehensive guide to understanding and implementing Generative AI

by Et Tu Code

Narrated by Helen Green

Unabridged — 2 hours, 38 minutes

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Overview

Unlock the secrets of Generative AI with this comprehensive guide! ¿


Generative AI is a rapidly growing field that enables machines to create novel, original content, such as images, music, and text. But how do these models work? And how can you use them in your own projects? This book provides a detailed, beginner-friendly guide to understanding and implementing Generative AI.


You'll learn about the different types of generative models, including GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and more. Each chapter covers a specific model, with clear explanations of how it works and examples of how to use it in practice.


Whether you're a seasoned AI practitioner or just starting out, this book will help you:


¿ Understand the inner workings of Generative AI models

¿ Create stunning images, music, and text with your own generative models

¿ Apply Generative AI to a wide range of applications, from art and design to natural language processing and more


With this book, you'll be able to:


¿¿ Build your own generative models using popular deep learning frameworks like TensorFlow and PyTorch

¿¿ Use Generative AI to create innovative solutions for a variety of industries

¿¿ Stay up-to-date with the latest developments in the field and how they can be applied in practice


Don't miss out on this opportunity to unlock the full potential of Generative AI! ¿ Get your copy today and start creating innovative content like never before!"


Product Details

BN ID: 2940192770931
Publisher: Et Tu Code
Publication date: 04/14/2024
Series: AI Explorer , #4
Edition description: Unabridged
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