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Hands-on deep learning with Go : a practical guide to building and implementing neural network models using Go /

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자료유형E-Book
개인저자Seneque, Gareth, author.
Chua, Darrell, author.
서명/저자사항Hands-on deep learning with Go :a practical guide to building and implementing neural network models using Go /Gareth Seneque, Darrell Chua.
발행사항Birmingham, UK : Packt Publishing, [2019]
형태사항1 online resource (228 pages)
소장본 주기Added to collection customer.56279.3
ISBN9781789347883
1789347882

서지주기Includes bibliographical references.
내용주기Table of ContentsIntroduction to Deep Learning in GoWhat Is a Neural Network and How Do I Train One?Beyond Basic Neural Networks -- Autoencoders and RBMsCUDA -- GPU-Accelerated TrainingNext Word Prediction with Recurrent Neural NetworksObject Recognition with Convolutional Neural NetworksMaze Solving with Deep Q-NetworksGenerative Models with Variational AutoencodersBuilding a Deep Learning PipelineScaling Deployment.
요약The Go ecosystem comprises some really powerful Deep Learning tools. This book shows you how to use these tools to train and deploy scalable Deep Learning models. You will explore a number of modern Neural Network architectures such as CNNs, RNNs, and more. By the end, you will be able to train your own Deep Learning models from scratch, using ...
일반주제명Machine learning.
Go (Computer program language)
Go (Computer program language)
Machine learning.
언어영어
기타형태 저록Print version:Seneque, Gareth.Hands-On Deep Learning with Go : A Practical Guide to Building and Implementing Neural Network Models Using Go.Birmingham : Packt Publishing, Limited, 짤20199781789340990
대출바로가기http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2228072

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