Neural Networks in Unity

Language: English

Published by APress, US, 2018

1484236726 / 9781484236727

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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 LearnDiscover the concepts behind neural networksWork with Unity and C# See the difference between fully connected and convolutional neural networksMaster neural network processing for Windows 10 UWPWho This Book Is ForGaming professionals, machine learning and deep learning enthusiasts.…

Seller Inventory # LU-9781484236727

Title
Neural Networks in Unity
Author
Abhishek Nandy, Manisha Biswas
Publisher
APress, US
Publication year
2018
Condition
New
Binding
Paperback
Language
English
ISBN 10
1484236726
ISBN 13
9781484236727

Rarewaves.com USA

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