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Deep Learning Tensorflow Keras by Gulli Antonio (30 results)
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Paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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paperback. Condition: Good. front cover has small bend. otherwise fine Open Books is a nonprofit social venture that provides literacy experiences for thousands of readers each year through inspiring programs and creative capitalization of books.
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Deep Learning with TensorFlow 2 and Keras: Regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API, 2nd Edition
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Deep Learning with TensorFlow and Keras: Build and deploy supervised, unsupervised, deep, and reinforcement learning models, 3rd Edition
Published by Packt Publishing (edition 3rd ed.), 2022
ISBN 10: 1803232919 ISBN 13: 9781803232911
Language: English
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paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Deep Learning with TensorFlow 2 and Keras - Second Edition (Paperback or Softback)
Published by Packt Publishing 12/20/2019, 2019
ISBN 10: 1838823417 ISBN 13: 9781838823412
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Deep Learning with TensorFlow 2 and Keras: Regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API, 2nd Edition
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Deep Learning with TensorFlow 2 and Keras - Second Edition: Regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API
Published by Packt Publishing 2019-12, 2019
ISBN 10: 1838823417 ISBN 13: 9781838823412
Language: English
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Deep Learning with TensorFlow and Keras: Build and deploy supervised, unsupervised, deep, and reinforcement learning models, 3rd Edition
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Deep Learning with TensorFlow 2 and Keras - Second Edition
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Deep Learning with TensorFlow and Keras - Third Edition: Build and deploy supervised, unsupervised, deep, and reinforcement learning models
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Deep Learning with TensorFlow 2 and Keras - Second Edition
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Deep Learning with TensorFlow and Keras - Third Edition: Build and deploy supervised, unsupervised, deep, and reinforcement learning models
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Add to basketCondition: New. Deep Learning with TensorFlow 2 and Keras, Second Edition teaches deep learning techniques alongside TensorFlow (TF) and Keras. The book introduces neural networks with TensorFlow, runs through the main applications, covers two working example apps, and the.
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Add to basketpaperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2021-09-01 Pages: 484 Publisher: Machinery Industry Press This book concisely and comprehensively introduces modern neural networks. artificial intelligence and deep learning technology. specifically designed for software engineers and data scientists.?Chapter 1 introduces the basic knowledge of neural networks step by step.?Chapter 2 compares the TensorFlow 1x and TensorFlow 20 programming models.?Chapter 3 focuses on regression.?Chapter 4 introduces con.
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Deep Learning with TensorFlow 2 and Keras: Regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API, 2nd Edition
Published by Packt Publishing, Limited, 2019
ISBN 10: 1838823417 ISBN 13: 9781838823412
Language: English
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Deep Learning with TensorFlow and Keras
Published by Packt Publishing, Limited, 2022
ISBN 10: 1803232919 ISBN 13: 9781803232911
Language: English
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Deep Learning with TensorFlow 2 and Keras: Regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API, 2nd Edition
Published by Packt Publishing Limited, 2019
ISBN 10: 1838823417 ISBN 13: 9781838823412
Language: English
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Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 1156.
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Build machine and deep learning systems with the newly released TensorFlow 2 and Keras for the lab, production, and mobile devicesKey FeaturesIntroduces and then uses TensorFlow 2 and Keras right from the startTeaches key machine and deep learning techniquesUnderstand the fundamentals of deep learning and machine learning through clear explanations and extensive code samplesBook DescriptionDeep Learning with TensorFlow 2 and Keras, Second Edition teaches neural networks and deep learning techniques alongside TensorFlow (TF) and Keras. You'll learn how to write deep learning applications in the most powerful, popular, and scalable machine learning stack available.TensorFlow is the machine learning library of choice for professional applications, while Keras offers a simple and powerful Python API for accessing TensorFlow. TensorFlow 2 provides full Keras integration, making advanced machine learning easier and more convenient than ever before.This book also introduces neural networks with TensorFlow, runs through the main applications (regression, ConvNets (CNNs), GANs, RNNs, NLP), covers two working example apps, and then dives into TF in production, TF mobile, and using TensorFlow with AutoML.What you will learnBuild machine learning and deep learning systems with TensorFlow 2 and the Keras APIUse Regression analysis, the most popular approach to machine learningUnderstand ConvNets (convolutional neural networks) and how they are essential for deep learning systems such as image classifiersUse GANs (generative adversarial networks) to create new data that fits with existing patternsDiscover RNNs (recurrent neural networks) that can process sequences of input intelligently, using one part of a sequence to correctly interpret anotherApply deep learning to natural human language and interpret natural language texts to produce an appropriate responseTrain your models on the cloud and put TF to work in real environmentsExplore how Google tools can automate simple ML workflows without the need for complex modelingWho this book is forThis book is for Python developers and data scientists who want to build machine learning and deep learning systems with TensorFlow. Whether or not you have done machine learning before, this book gives you the theory and practice required to use Keras, TensorFlow 2, and AutoML to build machine learning systems.
