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: Neural Networks in Unity: C# Programming for Windows 10
: Abhishek Nandy, Manisha Biswas
: Apress
ISBN: 1484236726
: 2018
: 158
: pdf (true), epub
: 10.6 MB

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#. Youll 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 youve gained the basics, youll 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, youll 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.

Neural Networks in Unity: C# Programming for Windows 10


: Ingvar16 2-11-2018, 14:33 | |
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