Hands-On Deep Learning with Go a practical guide to building and implementing neural network models using Go

✍ Scribed by Seneque, Gareth;Chua, Darrell

• Publisher: Packt Publishing
• Year: 2019
• Tongue: English
• Leaves: 228
• Edition: 1st ed
• Category: Library

✦ Synopsis

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...

✦ Table of Contents

Table 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