E-book details

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

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

Gareth Seneque, Darrell Chua

Ebook
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.
  • 1. Introduction to Deep Learning in Go
  • 2. What Is a Neural Network and How Do I Train One?
  • 3. Beyond Basic Neural Networks - Autoencoders and RBMs
  • 4. CUDA - GPU-Accelerated Training
  • 5. Next Word Prediction with Recurrent Neural Networks
  • 6. Object Recognition with Convolutional Neural Networks
  • 7. Maze Solving with Deep Q-Networks
  • 8. Generative Models with Variational Autoencoders
  • 9. Building a Deep Learning Pipeline
  • 10. Scaling Deployment
  • Title: Hands-On Deep Learning with Go. A practical guide to building and implementing neural network models using Go
  • Author: Gareth Seneque, Darrell Chua
  • Original title: Hands-On Deep Learning with Go. A practical guide to building and implementing neural network models using Go
  • ISBN: 9781789347883, 9781789347883
  • Date of issue: 2019-08-08
  • Format: Ebook
  • Item ID: e_2awz
  • Publisher: Packt Publishing