Librería: Miki Store, San Jose, CA, Estados Unidos de America
EUR 11,06
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Añadir al carritopaperback. Condición: Good. Pages are crisp and clean, no marking. Cover is verygood. Binding is tight/good. ex-library book with normal library stamps & stickers.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 39,36
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Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
EUR 38,17
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Librería: California Books, Miami, FL, Estados Unidos de America
EUR 43,40
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 42,13
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Publicado por Packt Publishing Limited, 2018
ISBN 10: 1789612012 ISBN 13: 9781789612011
Idioma: Inglés
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
EUR 49,68
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Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Publicado por Packt Publishing Limited, 2018
ISBN 10: 1789612012 ISBN 13: 9781789612011
Idioma: Inglés
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
EUR 45,11
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Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 41,69
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Añadir al carritoCondición: New. In.
Publicado por Packt Publishing Limited, GB, 2018
ISBN 10: 1789612012 ISBN 13: 9781789612011
Idioma: Inglés
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 56,42
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Añadir al carritoPaperback. Condición: New. Create and unleash the power of neural networks by implementing C# and .Net codeKey FeaturesGet a strong foundation of neural networks with access to various machine learning and deep learning librariesReal-world case studies illustrating various neural network techniques and architectures used by practitionersCutting-edge coverage of Deep Networks, optimization algorithms, convolutional networks, autoencoders and many moreBook DescriptionNeural networks have made a surprise comeback in the last few years and have brought tremendous innovation in the world of artificial intelligence. The goal of this book is to provide C# programmers with practical guidance in solving complex computational challenges using neural networks and C# libraries such as CNTK, and TensorFlowSharp. This book will take you on a step-by-step practical journey, covering everything from the mathematical and theoretical aspects of neural networks, to building your own deep neural networks into your applications with the C# and .NET frameworks.This book begins by giving you a quick refresher of neural networks. You will learn how to build a neural network from scratch using packages such as Encog, Aforge, and Accord. You will learn about various concepts and techniques, such as deep networks, perceptrons, optimization algorithms, convolutional networks, and autoencoders. You will learn ways to add intelligent features to your .NET apps, such as facial and motion detection, object detection and labeling, language understanding, knowledge, and intelligent search.Throughout this book, you will be working on interesting demonstrations that will make it easier to implement complex neural networks in your enterprise applications.What you will learnUnderstand perceptrons and how to implement them in C#Learn how to train and visualize a neural network using cognitive servicesPerform image recognition for detecting and labeling objects using C# and TensorFlowSharpDetect specific image characteristics such as a face using Accord.NetDemonstrate particle swarm optimization using a simple XOR problem and EncogTrain convolutional neural networks using ConvNetSharpFind optimal parameters for your neural network functions using numeric and heuristic optimization techniques.Who this book is forThis book is for Machine Learning Engineers, Data Scientists, Deep Learning Aspirants and Data Analysts who are now looking to move into advanced machine learning and deep learning with C#. Prior knowledge of machine learning and working experience with C# programming is required to take most out of this book.
Publicado por Packt Publishing 2018-09-29, 2018
ISBN 10: 1789612012 ISBN 13: 9781789612011
Idioma: Inglés
Librería: Chiron Media, Wallingford, Reino Unido
EUR 38,29
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Añadir al carritoPaperback. Condición: New.
Publicado por Packt Publishing 2018-09, 2018
ISBN 10: 1789612012 ISBN 13: 9781789612011
Idioma: Inglés
Librería: Chiron Media, Wallingford, Reino Unido
EUR 39,42
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Añadir al carritoPF. Condición: New.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 40,73
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Publicado por Packt Publishing Limited, 2018
ISBN 10: 1789612012 ISBN 13: 9781789612011
Idioma: Inglés
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 46,61
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Añadir al carritoPaperback / softback. Condición: New. New copy - Usually dispatched within 3 working days. 526.
Publicado por Packt Publishing 9/28/2018, 2018
ISBN 10: 1789612012 ISBN 13: 9781789612011
Idioma: Inglés
Librería: BargainBookStores, Grand Rapids, MI, Estados Unidos de America
EUR 61,16
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Añadir al carritoPaperback or Softback. Condición: New. Hands-On Neural Network Programming with C#. Book.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 44,23
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Añadir al carritoCondición: As New. Unread book in perfect condition.
EUR 40,75
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Añadir al carritoCondición: NEW.
EUR 45,83
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Añadir al carritoCondición: New. This book will give you a complete walkthrough of the process of developing basic to advanced practical examples based on neural networks with C#. From simple perceptrons through GRU s, you ll learn to understand and implement these technologies using the c.
Publicado por Packt Publishing Limited, GB, 2018
ISBN 10: 1789612012 ISBN 13: 9781789612011
Idioma: Inglés
Librería: Rarewaves.com UK, London, Reino Unido
EUR 51,68
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Añadir al carritoPaperback. Condición: New. Create and unleash the power of neural networks by implementing C# and .Net codeKey FeaturesGet a strong foundation of neural networks with access to various machine learning and deep learning librariesReal-world case studies illustrating various neural network techniques and architectures used by practitionersCutting-edge coverage of Deep Networks, optimization algorithms, convolutional networks, autoencoders and many moreBook DescriptionNeural networks have made a surprise comeback in the last few years and have brought tremendous innovation in the world of artificial intelligence. The goal of this book is to provide C# programmers with practical guidance in solving complex computational challenges using neural networks and C# libraries such as CNTK, and TensorFlowSharp. This book will take you on a step-by-step practical journey, covering everything from the mathematical and theoretical aspects of neural networks, to building your own deep neural networks into your applications with the C# and .NET frameworks.This book begins by giving you a quick refresher of neural networks. You will learn how to build a neural network from scratch using packages such as Encog, Aforge, and Accord. You will learn about various concepts and techniques, such as deep networks, perceptrons, optimization algorithms, convolutional networks, and autoencoders. You will learn ways to add intelligent features to your .NET apps, such as facial and motion detection, object detection and labeling, language understanding, knowledge, and intelligent search.Throughout this book, you will be working on interesting demonstrations that will make it easier to implement complex neural networks in your enterprise applications.What you will learnUnderstand perceptrons and how to implement them in C#Learn how to train and visualize a neural network using cognitive servicesPerform image recognition for detecting and labeling objects using C# and TensorFlowSharpDetect specific image characteristics such as a face using Accord.NetDemonstrate particle swarm optimization using a simple XOR problem and EncogTrain convolutional neural networks using ConvNetSharpFind optimal parameters for your neural network functions using numeric and heuristic optimization techniques.Who this book is forThis book is for Machine Learning Engineers, Data Scientists, Deep Learning Aspirants and Data Analysts who are now looking to move into advanced machine learning and deep learning with C#. Prior knowledge of machine learning and working experience with C# programming is required to take most out of this book.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 51,42
Convertir monedaCantidad disponible: 4 disponibles
Añadir al carritoCondición: New. Print on Demand.
Publicado por Packt Publishing Limited, 2018
ISBN 10: 1789612012 ISBN 13: 9781789612011
Idioma: Inglés
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 47,49
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Añadir al carritoPaperback / softback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 526.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 46,75
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Añadir al carritoPaperback. Condición: Brand New. 328 pages. 9.17x7.48x0.75 inches. In Stock. This item is printed on demand.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 46,52
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Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering.