Raghav Bali,Joseph Babcock

Generative AI with Python and TensorFlow 2

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Machines are excelling at creative human skills such as painting, writing, and composing music. Could you be more creative than generative AI?
In this book, you’ll explore the evolution of generative models, from restricted Boltzmann machines and deep belief networks to VAEs and GANs. You’ll learn how to implement models yourself in TensorFlow and get to grips with the latest research on deep neural networks.
There’s been an explosion in potential use cases for generative models. You’ll look at Open AI’s news generator, deepfakes, and training deep learning agents to navigate a simulated environment.
Recreate the code that’s under the hood and uncover surprising links between text, image, and music generation.
This book is currently unavailable
915 printed pages
Original publication
2021
Publication year
2021
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