Hands-On Deep Learning with Go
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Description
Apply modern deep learning techniques to build and train deep neural networks using Gorgonia Key FeaturesGain a practical understanding of deep learning using GolangBuild complex neural network models using Go libraries and GorgoniaTake 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... 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 Other Books You May Enjoy
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