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Sinopsis
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 concepts you’ve learned. Explore methods to optimize and adapt neural networks in real time.
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Matt R. Cole is a developer and author with 30 years' experience. Matt is the owner of Evolved AI Solutions, a provider of advanced Machine Learning/Bio-AI, Microservice and Swarm technologies. Matt is recognized as a leader in Microservice and Artificial Intelligence development and design. As an early pioneer of VOIP, Matt developed the VOIP system for NASA for the International Space Station and Space Shuttle. Matt also developed the first Bio Artificial Intelligence framework which completely integrates mirror and canonical neurons. In his spare time Matt authors books, and continues his education taking every available course in advanced mathematics, AI/ML/DL, Quantum Mechanics/Physics, String Theory and Computational Neuroscience.
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2018 PB Hands-On Neural Network Programming with C#: Add powerful neural network capabilities to your C# enterprise applications
Publicado por
Packt Publishing, 2018
ISBN 10: 1789612012
ISBN 13: 9781789612011
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paperback
Librería: Miki Store, San Jose, CA, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
paperback. Condición: Good. Pages are crisp and clean, no marking. Cover is verygood. Binding is tight/good. ex-library book with normal library stamps & stickers. Nº de ref. del artículo: dd-bs23
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Hands-On Neural Network Programming with C#: Add powerful neural network capabilities to your C# enterprise applications
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Hands-On Neural Network Programming with C#
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Hands-On Neural Network Programming with C#: Add powerful neural network capabilities to your C# enterprise applications
Librería: California Books, Miami, FL, Estados Unidos de America
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Condición: New. Nº de ref. del artículo: I-9781789612011
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Hands-On Neural Network Programming with C#
Publicado por
Packt Publishing, 2018
ISBN 10: 1789612012
ISBN 13: 9781789612011
Antiguo o usado
Tapa blanda
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: As New. Unread book in perfect condition. Nº de ref. del artículo: 33899174
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Hands-On Neural Network Programming with C#
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PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000. Nº de ref. del artículo: GB-9781789612011
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Hands-On Neural Network Programming with C#
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
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PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000. Nº de ref. del artículo: GB-9781789612011
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Hands-On Neural Network Programming with C#: Add powerful neural network capabilities to your C# enterprise applications
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Hands-On Neural Network Programming with C#: Add powerful neural network capabilities to your C# enterprise applications
Publicado por
Packt Publishing 2018-09-29, 2018
ISBN 10: 1789612012
ISBN 13: 9781789612011
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Librería: Chiron Media, Wallingford, Reino Unido
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Paperback. Condición: New. Nº de ref. del artículo: 6666-GRD-9781789612011
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Hands-On Neural Network Programming with C#
Publicado por
Packt Publishing Limited, GB, 2018
ISBN 10: 1789612012
ISBN 13: 9781789612011
Nuevo
Paperback
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Paperback. 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. Nº de ref. del artículo: LU-9781789612011
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