Neural Networks in Unity - C# Programming for Windows 10 (Paperback, 1st ed.)

Learn the core concepts of neural networks and discover the different types of neural network, using Unity as your platform. In this book you will start by exploring back propagation and unsupervised neural networks with Unity and C#. You'll then move onto activation functions, such as sigmoid functions, step functions, and so on. The author also explains all the variations of neural networks such as feed forward, recurrent, and radial. Once you've gained the basics, you'll start programming Unity with C#. In this section the author discusses constructing neural networks for unsupervised learning, representing a neural network in terms of data structures in C#, and replicating a neural network in Unity as a simulation. Finally, you'll define back propagation with Unity C#, before compiling your project. What You'll Learn Discover the concepts behind neural networks Work with Unity and C# See the difference between fully connected and convolutional neural networks Master neural network processing for Windows 10 UWP Who This Book Is For Gaming professionals, machine learning and deep learning enthusiasts.

General

Imprint:	Apress
Country of origin:	United States
Release date:	July 2018
First published:	2018
Authors:	Abhishek Nandy • Manisha Biswas
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	158
Edition:	1st ed.
ISBN-13:	978-1-4842-3672-7
Categories:	Books > Computing & IT > Computer programming > General Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks
LSN:	1-4842-3672-6
Barcode:	9781484236727

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