Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 24,10
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 25,89
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Librería: California Books, Miami, FL, Estados Unidos de America
EUR 29,50
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Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Original o primera edición
EUR 34,93
Cantidad disponible: 15 disponibles
Añadir al carritoCondición: New. 2018. 1st ed. paperback. . . . . .
Librería: Revaluation Books, Exeter, Reino Unido
EUR 36,87
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Añadir al carritoPaperback. Condición: Brand New. 169 pages. 9.25x6.10x1.00 inches. In Stock.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 31,69
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Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
EUR 42,87
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Añadir al carritoCondición: New. 2018. 1st ed. paperback. . . . . . Books ship from the US and Ireland.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 39,82
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 36,68
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Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 54,20
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Añadir al carritoCondición: New. 1st ed. edition NO-PA16APR2015-KAP.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 65,08
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 77,06
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Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 72,79
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 72,24
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 79,93
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Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 97,23
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Librería: Revaluation Books, Exeter, Reino Unido
EUR 96,99
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Añadir al carritoPaperback. Condición: Brand New. 167 pages. 9.00x6.00x0.50 inches. In Stock.
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 37,44
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Learn the core concepts of neural networks and discover the different types of neural network, using Unity as your platform. In this book you will start by exploring back propagation and unsupervised neural networks with Unity and C#. You'll then move onto activation functions, such as sigmoid functions, step functions, and so on. The author also explains all the variations of neural networks such as feed forward, recurrent, and radial.Once you've gained the basics, you'll start programming Unity with C#. In this section the author discusses constructing neural networks for unsupervised learning, representing a neural network in terms of data structures in C#, and replicating a neural network in Unity as a simulation. Finally, you'll define back propagation with Unity C#, before compiling your project.What You'll LearnDiscover the concepts behind neural networksWork with Unity and C#See the difference between fully connected and convolutional neural networksMaster neural network processing for Windows 10 UWPWho This Book Is ForGaming professionals, machine learning and deep learning enthusiasts. 172 pp. Englisch.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 55,27
Cantidad disponible: 4 disponibles
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Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 51,93
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Librería: moluna, Greven, Alemania
EUR 32,41
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Añadir al carritoKartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. A great way to learn neural networks for the beginnerCovers back propagation and unsupervised neural networks with Unity C#Introduces different types of neural networks in Unity.
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 69,54
Cantidad disponible: 2 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Master reinforcement learning, a popular area of machine learning, starting with the basics: discover how agents and the environment evolve and then gain a clear picture of how they are inter-related. You'll then work with theories related to reinforcement learning and see the concepts that build up the reinforcement learning process.Reinforcement Learningdiscusses algorithm implementations important for reinforcement learning, including Markov's Decision process and Semi Markov Decision process. The next section shows you how to get started with Open AI before looking at Open AI Gym. You'll then learn about Swarm Intelligence with Python in terms of reinforcement learning.The last part of the book starts with the TensorFlow environment and gives an outline of how reinforcement learning can be applied to TensorFlow. There's also coverage of Keras, a framework that can be used with reinforcement learning. Finally, you'll delve into Google's Deep Mind and see scenarios where reinforcement learning can be used.What You'll LearnAbsorb the core concepts of the reinforcement learning processUse advanced topics of deep learning and AIWork with Open AI Gym, Open AI, and PythonHarness reinforcement learning with TensorFlow and Keras using PythonWho This Book Is ForData scientists, machine learning and deep learning professionals, developers who want to adapt and learn reinforcement learning. 184 pp. Englisch.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 98,45
Cantidad disponible: 4 disponibles
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Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 98,86
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Librería: moluna, Greven, Alemania
EUR 60,06
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Añadir al carritoKartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Discusses Open AI and Open AI Gym with relevance to reinforcement learningApplication of TensorFlow and Keras to reinforcement learningSwarm Intelligence with Python in terms of reinfor.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 72,88
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Master reinforcement learning, a popular area of machine learning, starting with the basics: discover how agents and the environment evolve and then gain a clear picture of how they are inter-related. You'll then work with theories related to reinforcement learning and see the concepts that build up the reinforcement learning process.Reinforcement Learningdiscusses algorithm implementations important for reinforcement learning, including Markov's Decision process and Semi Markov Decision process. The next section shows you how to get started with Open AI before looking at Open AI Gym. You'll then learn about Swarm Intelligence with Python in terms of reinforcement learning.The last part of the book starts with the TensorFlow environment and gives an outline of how reinforcement learning can be applied to TensorFlow. There's also coverage of Keras, a framework that can be used with reinforcement learning. Finally, you'll delve into Google's Deep Mind and see scenarios where reinforcement learning can be used.What You'll LearnAbsorb the core concepts of the reinforcement learning processUse advanced topics of deep learning and AIWork with Open AI Gym, Open AI, and PythonHarness reinforcement learning with TensorFlow and Keras using PythonWho This Book Is ForData scientists, machine learning and deep learning professionals, developers who want to adapt and learn reinforcement learning.