Joseph Babcock, Raghav Bali

Generative AI with Python and TensorFlow 2 (eBook, ePUB)

Create images, text, and music with VAEs, GANs, LSTMs, Transformer models

• Format: ePub

Produktbeschreibung

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.

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Produktdetails

• Verlag: Packt Publishing
• Seitenzahl: 488
• Erscheinungstermin: 30. April 2021
• Englisch
• ISBN-13: 9781800208506
• Artikelnr.: 70298195

Autorenporträt

Joseph Babcock has spent more than a decade working with big data and AI in the e-commerce, digital streaming, and quantitative finance domains. Through his career he has worked on recommender systems, petabyte scale cloud data pipelines, A/B testing, causal inference, and time series analysis. He completed his PhD studies at Johns Hopkins University, applying machine learning to the field of drug discovery and genomics.