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Generative Python Tensorflow Create by Joseph Babcock (14 results)
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Condition: acceptable. Book is in acceptable condition and shows signs of wear. Book may also include underlining highlighting. The book can also include "From the library of" labels. May not contain miscellaneous items toys, dvds, etc. . We offer 100% money back guarantee and 24 7 customer service.
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Generative AI with Python and TensorFlow 2: Harness the power of generative models to create images, text, and music
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Add to basketCondition: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
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Generative AI with Python and TensorFlow 2: Harness the power of generative models to create images, text, and music
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Generative AI with Python and TensorFlow 2: Harness the power of generative models to create images, text, and music
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Generative AI with Python and TensorFlow 2: Create images, text, and music with VAEs, GANs, LSTMs, Transformer models
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Generative AI with Python and TensorFlow 2: Create images, text, and music with VAEs, GANs, LSTMs, Transformer models
Published by Packt Publishing 2021-04-30, 2021
ISBN 10: 1800200889 ISBN 13: 9781800200883
Language: English
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Add to basketCondition: Neu. 23 x 19 cm. 488 S. Taschenbuch. Sprache: Englisch.
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Add to basketTaschenbuch. Condition: 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.
