"TensorFlow Workshop: Deep Learning in Action" is a comprehensive guide designed to take readers on an explorative journey into the world of deep learning using TensorFlow. It covers the foundational concepts of neural networks, delves into the specifics of implementing various network architectures, and explores advanced topics like convolutional neural networks (CNNs), recurrent neural networks (RNNs), autoencoders, and generative adversarial networks (GANs). Each chapter is structured to provide a balance of theory, practical examples, and hands-on exercises, making complex ideas accessible to readers at different skill levels. The book also addresses the challenges faced during model training, offers insights into optimizing performance, and discusses future trends in AI and deep learning. With a focus on real-world applications, this book is an invaluable resource for anyone looking to master TensorFlow and unlock the potential of deep learning technologies.
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Da: Books Puddle, New York, NY, U.S.A.
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. TensorFlow Workshop: Deep Learning in Action is a comprehensive guide designed to take readers on an explorative journey into the world of deep learning using TensorFlow. It covers the foundational concepts of neural networks, delves into the specifics of. Codice articolo 1580723642
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -'TensorFlow Workshop: Deep Learning in Action' is a comprehensive guide designed to take readers on an explorative journey into the world of deep learning using TensorFlow. It covers the foundational concepts of neural networks, delves into the specifics of implementing various network architectures, and explores advanced topics like convolutional neural networks (CNNs), recurrent neural networks (RNNs), autoencoders, and generative adversarial networks (GANs). Each chapter is structured to provide a balance of theory, practical examples, and hands-on exercises, making complex ideas accessible to readers at different skill levels. The book also addresses the challenges faced during model training, offers insights into optimizing performance, and discusses future trends in AI and deep learning. With a focus on real-world applications, this book is an invaluable resource for anyone looking to master TensorFlow and unlock the potential of deep learning technologies.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 56 pp. Englisch. Codice articolo 9786207473496
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Da: AHA-BUCH GmbH, Einbeck, Germania
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 'TensorFlow Workshop: Deep Learning in Action' is a comprehensive guide designed to take readers on an explorative journey into the world of deep learning using TensorFlow. It covers the foundational concepts of neural networks, delves into the specifics of implementing various network architectures, and explores advanced topics like convolutional neural networks (CNNs), recurrent neural networks (RNNs), autoencoders, and generative adversarial networks (GANs). Each chapter is structured to provide a balance of theory, practical examples, and hands-on exercises, making complex ideas accessible to readers at different skill levels. The book also addresses the challenges faced during model training, offers insights into optimizing performance, and discusses future trends in AI and deep learning. With a focus on real-world applications, this book is an invaluable resource for anyone looking to master TensorFlow and unlock the potential of deep learning technologies. Codice articolo 9786207473496
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Da: preigu, Osnabrück, Germania
Taschenbuch. Condizione: Neu. TensorFlow Workshop: Deep Learning in Action | Rupesh Kumar Tipu | Taschenbuch | Englisch | 2024 | LAP LAMBERT Academic Publishing | EAN 9786207473496 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Codice articolo 128924834
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