Vendeur : Zoom Books Company, Lynden, WA, Etats-Unis
EUR 20,01
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Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 43,10
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Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 39,12
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Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
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Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
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Vendeur : California Books, Miami, FL, Etats-Unis
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Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
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Vendeur : Russell Books, Victoria, BC, Canada
EUR 72,18
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Ajouter au panierPaperback. Etat : New. Special order direct from the distributor.
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 67,79
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Ajouter au panierEtat : New. In.
Edité par Packt Publishing 2021-04-30, 2021
ISBN 10 : 1800200889 ISBN 13 : 9781800200883
Langue: anglais
Vendeur : Chiron Media, Wallingford, Royaume-Uni
EUR 64,48
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Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
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Vendeur : INGARDIO, Schupfart, Suisse
EUR 67
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Ajouter au panierEtat : Neu. 23 x 19 cm. 488 S. Taschenbuch. Sprache: Englisch.
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 62,74
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Ajouter au panierTaschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Fun and exciting projects to learn what artificial minds can createKey Features:Code examples are in TensorFlow 2, which make it easy for PyTorch users to follow alongLook inside the most famous deep generative models, from GPT to MuseGANLearn to build and adapt your own models in TensorFlow 2.xExplore exciting, cutting-edge use cases for deep generative AIBook Description: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.What You Will Learn:Export the code from GitHub into Google Colab to see how everything works for yourselfCompose music using LSTM models, simple GANs, and MuseGANCreate deepfakes using facial landmarks, autoencoders, and pix2pix GANLearn how attention and transformers have changed NLPBuild several text generation pipelines based on LSTMs, BERT, and GPT-2Implement paired and unpaired style transfer with networks like StyleGANDiscover emerging applications of generative AI like folding proteins and creating videos from imagesWho this book is for:This is a book for Python programmers who are keen to create and have some fun using generative models. To make the most out of this book, you should have a basic familiarity with math and statistics for machine learning.