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Generative AI with Python and TensorFlow 2. Create images, text, and music with VAEs, GANs, LSTMs, Transformer models

(ebook) (audiobook) (audiobook) Książka w języku 1
Generative AI with Python and TensorFlow 2. Create images, text, and music with VAEs, GANs, LSTMs, Transformer models Joseph Babcock, Raghav Bali - okladka książki

Generative AI with Python and TensorFlow 2. Create images, text, and music with VAEs, GANs, LSTMs, Transformer models Joseph Babcock, Raghav Bali - okladka książki

Generative AI with Python and TensorFlow 2. Create images, text, and music with VAEs, GANs, LSTMs, Transformer models Joseph Babcock, Raghav Bali - audiobook MP3

Generative AI with Python and TensorFlow 2. Create images, text, and music with VAEs, GANs, LSTMs, Transformer models Joseph Babcock, Raghav Bali - audiobook CD

Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
488
Dostępne formaty:
     PDF
     ePub
     Mobi
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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O autorach książki

Joseph Babcock has spent almost a decade exploring complex datasets and combining predictive modeling with visualization to understand correlations and forecast anticipated outcomes. He received a PhD from the Solomon H. Snyder Department of Neuroscience at The Johns Hopkins University School of Medicine, where he used machine learning to predict adverse cardiac side effects of drugs. Outside the academy, he has tackled big data challenges in the healthcare and entertainment industries.
Raghav Bali has a master's degree (gold medalist) in information technology from International Institute of Information Technology, Bangalore. He is a data scientist at Intel, the world's largest silicon company, where he works on analytics, business intelligence, and application development to develop scalable machine learning-based solutions. He has worked as an analyst and developer in domains such as ERP, finance, and BI with some of the top companies of the world.

Joseph Babcock, Raghav Bali - pozostałe książki

Packt Publishing - inne książki

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