Hands-On Deep Learning with Go

✍ Scribed by Gareth Seneque, Darrell Chua

Publisher: Packt Publishing
Year: 2019
Tongue: English
Leaves: 323
Category: Library

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✦ 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

Title Page
Copyright and Credits
About Packt
Contributors
Preface
Section 1: Deep Learning in Go, Neural Networks, and How to Train Them
Introduction to Deep Learning in Go
What Is a Neural Network and How Do I Train One?
Beyond Basic Neural Networks - Autoencoders and RBMs
CUDA - GPU-Accelerated Training
Section 2: Implementing Deep Neural Network Architectures
Next Word Prediction with Recurrent Neural Networks
Object Recognition with Convolutional Neural Networks
Maze Solving with Deep Q-Networks
Generative Models with Variational Autoencoders
Section 3: Pipeline, Deployment, and Beyond!
Building a Deep Learning Pipeline
Scaling Deployment
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✦ Subjects

Deep Learning, Go

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