Hands-On Deep Learning with Go: A practical guide to building and implementing neural network models using Go
- Autorid
- Kustantaja
- Keel
- inglise
- Formaat
- Kategooria
Teadmiskirjandus
Apply modern deep learning techniques to build and train deep neural networks using Gorgonia
Key Features
• Gain a practical understanding of deep learning using Golang
•
• Build complex neural network models using Go libraries and Gorgonia
•
• Take your deep learning model from design to deployment with this handy guide
Book Description
Go is an open source programming language designed by Google for handling large-scale projects efficiently. The Go ecosystem comprises some really powerful deep learning tools such as DQN and CUDA. With this book, you'll be able to use these tools to train and deploy scalable deep learning models from scratch.
This deep learning book begins by introducing you to a variety of tools and libraries available in Go. It then takes you through building neural networks, including activation functions and the learning algorithms that make neural networks tick. In addition to this, you'll learn how to build advanced architectures such as autoencoders, restricted Boltzmann machines (RBMs), convolutional neural networks (CNNs), recurrent neural networks (RNNs), and more. You'll also understand how you can scale model deployments on the AWS cloud infrastructure for training and inference.
By the end of this book, you'll have mastered the art of building, training, and deploying deep learning models in Go to solve real-world problems.
What you will learn
• Explore the Go ecosystem of libraries and communities for deep learning
•
• Get to grips with Neural Networks, their history, and how they work
•
• Design and implement Deep Neural Networks in Go
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• Get a strong foundation of concepts such as Backpropagation and Momentum
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• Build Variational Autoencoders and Restricted Boltzmann Machines using Go
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• Build models with CUDA and benchmark CPU and GPU models
Who this book is for
This book is for data scientists, machine learning engineers, and AI developers who want to build state-of-the-art deep learning models using Go. Familiarity with basic machine learning concepts and Go programming is required to get the best out of this book.
© 2019 Packt Publishing (E-raamat): 9781789347883
Väljaandmise kuupäev
E-raamat: 8. august 2019
Raamatud, mis sarnanevad raamatuga Hands-On Deep Learning with Go: A practical guide to building and implementing neural network models using Go
- Peegelmees Lars Kepler
- Ja ei jäänud teda ka Agatha Christie
- Surmaskulptor Chris Carter
- Minu sõbrad Fredrik Backman
- Petlik tõde Colleen Hoover
- Cragside’i häärber L. J. Ross
- Allüürnik Freida McFadden
- Universumi kingitus Leelo Kassikäpp
- Külm nagu kivi Alex Smith
- Tööpäev Tõnu Õnnepalu
- Pühapäeva rüppe unustatud Valérie Perrin
- Threshing Day (Wing and Claw Collection) Rebecca Yarros
- Karu magab Emelie Schepp
- Sõja lapsed Martin Walker
- Liblikaõeksed Jenny Hale
- Petlik tõde Colleen Hoover
- Surmaskulptor Chris Carter
- Mõrv novembris Simon Mason
- Peegelmees Lars Kepler
- Allüürnik Freida McFadden
- Valge naise armastus Helene Moss
- Cragside’i häärber L. J. Ross
- Võr(g)utamine Katariina Tammert
- Karu magab Emelie Schepp
- Surnud mehe armastus Kristjan Saal
- Safranisügis Maija Kajanto
- Ära kasutatud, vägistatud ja müüdud Jessika Devert, Paulina Bengtsson
- Vaarisa moodi Jaagup Mahkra
- Matilda Leelo Kassikäpp
- Mälestused temast Colleen Hoover
- Petlik tõde Colleen Hoover
- Rehepapp Andrus Kivirähk
- Fifty-Fifty Steve Cavanagh
- Püha saar L. J. Ross
- Mälestused temast Colleen Hoover
- Kõik algab meist Colleen Hoover
- Ära kasutatud, vägistatud ja müüdud Jessika Devert, Paulina Bengtsson
- Surmaskulptor Chris Carter
- Safranisügis Maija Kajanto
- Langenud naine Colleen Hoover
- Valge naise armastus Helene Moss
- Koduabilise saladus Freida McFadden
- Ingel L. J. Ross
- Dorian Gray portree Oscar Wilde
- Kõrvitsavürtsi kohvik Laurie Gilmore
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