Hands-On Deep Learning with Go

Hands-On Deep Learning with Go 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. (Limited-time offer)

Table of Contents

• 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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