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ISBN 10: 0135116694 ISBN 13: 9780135116692
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Published by Addison-Wesley Professional, 2019
ISBN 10: 0135116694 ISBN 13: 9780135116692
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Published by Addison-Wesley Professional, 2019
ISBN 10: 0135116694 ISBN 13: 9780135116692
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Published by Addison-Wesley Professional, 2019
ISBN 10: 0135116694 ISBN 13: 9780135116692
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Published by Pearson Education (US), US, 2019
ISBN 10: 0135116694 ISBN 13: 9780135116692
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Add to basketPaperback. Condition: New. "The authors' clear visual style provides a comprehensive look at what's currently possible with artificial neural networks as well as a glimpse of the magic that's to come."-Tim Urban, author of Wait But Why Fully Practical, Insightful Guide to Modern Deep LearningDeep learning is transforming software, facilitating powerful new artificial intelligence capabilities, and driving unprecedented algorithm performance. Deep Learning Illustrated is uniquely intuitive and offers a complete introduction to the discipline's techniques. Packed with full-color figures and easy-to-follow code, it sweeps away the complexity of building deep learning models, making the subject approachable and fun to learn.World-class instructor and practitioner Jon Krohn-with visionary content from Grant Beyleveld and beautiful illustrations by Aglaé Bassens-presents straightforward analogies to explain what deep learning is, why it has become so popular, and how it relates to other machine learning approaches. Krohn has created a practical reference and tutorial for developers, data scientists, researchers, analysts, and students who want to start applying it. He illuminates theory with hands-on Python code in accompanying Jupyter notebooks. To help you progress quickly, he focuses on the versatile deep learning library Keras to nimbly construct efficient TensorFlow models; PyTorch, the leading alternative library, is also covered.You'll gain a pragmatic understanding of all major deep learning approaches and their uses in applications ranging from machine vision and natural language processing to image generation and game-playing algorithms. Discover what makes deep learning systems unique, and the implications for practitionersExplore new tools that make deep learning models easier to build, use, and improveMaster essential theory: artificial neurons, training, optimization, convolutional nets, recurrent nets, generative adversarial networks (GANs), deep reinforcement learning, and moreWalk through building interactive deep learning applications, and move forward with your own artificial intelligence projects Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
Published by Addison-Wesley Professional, 2019
ISBN 10: 0135116694 ISBN 13: 9780135116692
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Published by Addison-Wesley Professional, 2019
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Published by Addison-Wesley Professional, 2019
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Published by Addison-Wesley Professional, 2019
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Published by Addison-Wesley Professional, 2019
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Published by Addison-Wesley Professional, 2019
ISBN 10: 0135116694 ISBN 13: 9780135116692
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Published by Addison-Wesley Professional, 2019
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Published by Addison-Wesley Professional, 2019
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Add to basketPaperback. Condition: Brand New. illustrated edition. 320 pages. 9.00x6.75x0.50 inches. In Stock.
Published by Addison-Wesley Professional, 2019
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Published by Pearson Education (US), 2019
ISBN 10: 0135116694 ISBN 13: 9780135116692
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Add to basketCondition: New. Über den Autor Jon Krohn is the chief data scientist at untapt, a machine learning startup in New York. He leads a flourishing Deep Learning Study Group, presents the acclaimed Deep Learning with TensorFlow LiveLessons i.
Published by Pearson Education (US), US, 2019
ISBN 10: 0135116694 ISBN 13: 9780135116692
Language: English
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Add to basketPaperback. Condition: New. "The authors' clear visual style provides a comprehensive look at what's currently possible with artificial neural networks as well as a glimpse of the magic that's to come."-Tim Urban, author of Wait But Why Fully Practical, Insightful Guide to Modern Deep LearningDeep learning is transforming software, facilitating powerful new artificial intelligence capabilities, and driving unprecedented algorithm performance. Deep Learning Illustrated is uniquely intuitive and offers a complete introduction to the discipline's techniques. Packed with full-color figures and easy-to-follow code, it sweeps away the complexity of building deep learning models, making the subject approachable and fun to learn.World-class instructor and practitioner Jon Krohn-with visionary content from Grant Beyleveld and beautiful illustrations by Aglaé Bassens-presents straightforward analogies to explain what deep learning is, why it has become so popular, and how it relates to other machine learning approaches. Krohn has created a practical reference and tutorial for developers, data scientists, researchers, analysts, and students who want to start applying it. He illuminates theory with hands-on Python code in accompanying Jupyter notebooks. To help you progress quickly, he focuses on the versatile deep learning library Keras to nimbly construct efficient TensorFlow models; PyTorch, the leading alternative library, is also covered.You'll gain a pragmatic understanding of all major deep learning approaches and their uses in applications ranging from machine vision and natural language processing to image generation and game-playing algorithms. Discover what makes deep learning systems unique, and the implications for practitionersExplore new tools that make deep learning models easier to build, use, and improveMaster essential theory: artificial neurons, training, optimization, convolutional nets, recurrent nets, generative adversarial networks (GANs), deep reinforcement learning, and moreWalk through building interactive deep learning applications, and move forward with your own artificial intelligence projects Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.