| Description |
1 online resource (228 pages) |
| 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 |
| Summary |
The Go ecosystem comprises some really powerful Deep Learning tools. This book shows you how to use these tools to train and deploy scalable Deep Learning models. You will explore a number of modern Neural Network architectures such as CNNs, RNNs, and more. By the end, you will be able to train your own Deep Learning models from scratch, using .. |
| Bibliography |
Includes bibliographical references |
| Notes |
Print version record |
| Subject |
Machine learning.
|
|
Go (Computer program language)
|
|
Go (Computer program language)
|
|
Machine learning
|
| Form |
Electronic book
|
| Author |
Chua, Darrell, author
|
| ISBN |
9781789347883 |
|
1789347882 |
|
