9781789348460 - python deep learning: exploring deep learning techniques and neural network architectures with pytorch, keras, and tensorflow, 2nd edition [lingua inglese] di vasilev, ivan; slater, daniel; spacagna, gianmario (17 risultati)
Python Deep Learning -Second Edition
Ivan Vasilev; Daniel Slater; Gianmario Spacagna; Peter Roelants; Valentino Zocca
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Paperback or Softback. Condizione: New. Python Deep Learning - Second Edition: Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow, 2nd Ed. Book.
Python Deep Learning: Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow
Ivan Vasilev; Daniel Slater; Gianmario Spacagna; Peter Roelants; Valentino Zocca
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Da: California Books, Miami, FL, U.S.A.California Books
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Python Deep Learning -Second Edition
Ivan Vasilev; Daniel Slater; Gianmario Spacagna; Peter Roelants; Valentino Zocca
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Python Deep Learning
Ivan Vasilev, Daniel Slater, Gianmario Spacagna, Peter Roelants, Valentino Zocca
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Paperback. Condizione: New. 2nd Revised edition. The book will help you learn deep neural networks and their applications in computer vision, generative models, and natural language processing. It will also introduce you to the area of reinforcement learning, where you'll learn the state-of-the-art algorithms to teach the machin…es how to play games like Go and Atari.
PYTHON DEEP LEARNING
Ivan Vasilev; Daniel Slater; Gianmario Spacagna; Peter Roelants; Valentino Zocca
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Python Deep Learning - Second Edition: Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow, 2nd Edition
Vasilev, Ivan Ivan Vasilev, Daniel Slater, Gianmario Spacagna,
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Da: Chiron Media, Wallingford, Regno UnitoChiron Media
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Python Deep Learning -Second Edition
Ivan Vasilev; Daniel Slater; Gianmario Spacagna; Peter Roelants; Valentino Zocca
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Python Deep Learning -Second Edition
Ivan Vasilev; Daniel Slater; Gianmario Spacagna; Peter Roelants; Valentino Zocca
- Brossura
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Python Deep Learning: Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow, 2nd Edition
Vasilev, Ivan, Slater, Daniel, Spacagna, Gianmario, Roelants
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Paperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Python Deep Learning
Ivan Vasilev, Daniel Slater, Gianmario Spacagna, Peter Roelants, Valentino Zocca
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Da: Rarewaves.com UK, London, Regno UnitoRarewaves.com UK
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Paperback. Condizione: New. 2nd Revised edition. The book will help you learn deep neural networks and their applications in computer vision, generative models, and natural language processing. It will also introduce you to the area of reinforcement learning, where you'll learn the state-of-the-art algorithms to teach the machin…es how to play games like Go and Atari.
PYTHON DEEP LEARNING
Ivan Vasilev; Daniel Slater; Gianmario Spacagna; Peter Roelants; Valentino Zocca
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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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PYTHON DEEP LEARNING
Ivan Vasilev; Daniel Slater; Gianmario Spacagna; Peter Roelants; Valentino Zocca
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The book will help you learn deep neural networks and their applications in computer vision, generative models, and natural language processing. It will also introduce you to the area of reinforcement learning, where… you ll learn the state-of-the-art algori.
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Da: preigu, Osnabrück, Germaniapreigu
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Taschenbuch. Condizione: Neu. Python Deep Learning - Second Edition | Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow, 2nd Edition | Ivan Vasilev (u. a.) | Taschenbuch | Kartoniert / Broschiert | Englisch | 2019 | Packt Publishing | EAN 9781789348460 | Verantwortliche Perso…n für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Learn advanced state-of-the-art deep learning techniques and their applications using popular Python librariesKey FeaturesBuild a strong foundation in neural networks and deep learning with Python librariesExplore advanced deep learning… techniques and their applications across computer vision and NLPLearn how a computer can navigate in complex environments with reinforcement learningBook DescriptionWith the surge in artificial intelligence in applications catering to both business and consumer needs, deep learning is more important than ever for meeting current and future market demands. With this book, you'll explore deep learning, and learn how to put machine learning to use in your projects.This second edition of Python Deep Learning will get you up to speed with deep learning, deep neural networks, and how to train them with high-performance algorithms and popular Python frameworks. You'll uncover different neural network architectures, such as convolutional networks, recurrent neural networks, long short-term memory (LSTM) networks, and capsule networks. You'll also learn how to solve problems in the fields of computer vision, natural language processing (NLP), and speech recognition. You'll study generative model approaches such as variational autoencoders and Generative Adversarial Networks (GANs) to generate images. As you delve into newly evolved areas of reinforcement learning, you'll gain an understanding of state-of-the-art algorithms that are the main components behind popular games Go, Atari, and Dota.By the end of the book, you will be well-versed with the theory of deep learning along with its real-world applications.What you will learnGrasp the mathematical theory behind neural networks and deep learning processesInvestigate and resolve computer vision challenges using convolutional networks and capsule networksSolve generative tasks using variational autoencoders and Generative Adversarial NetworksImplement complex NLP tasks using recurrent networks (LSTM and GRU) and attention modelsExplore reinforcement learning and understand how agents behave in a complex environmentGet up to date with applications of deep learning in autonomous vehiclesWho this book is forThis book is for data science practitioners, machine learning engineers, and those interested in deep learning who have a basic foundation in machine learning and some Python programming experience. A background in mathematics and conceptual understanding of calculus and statistics will help you gain maximum benefit from this book.
