Introduction
Generative AI is a rapidly advancing field of artificial intelligence that allows machines to create new, original content such as images, text, and music.
Generative AI with Python and TensorFlow 2 by Joseph Babcock and Raghav Bali is a comprehensive guide that delves into the world of generative models, offering practical examples and code implementations in TensorFlow 2.
This book equips Python programmers with the knowledge and skills to build and experiment with various deep generative models like VAEs, GANs, LSTMs, and Transformer models.
In this book review, we will explore the key concepts, writing style, strengths, and areas for improvement of this guide to generative AI.
Book Summary
In Generative AI with Python and TensorFlow 2, the authors take readers on a journey through the evolution of generative models, starting from restricted Boltzmann machines and deep belief networks to modern VAEs and GANs.
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