| Neural Networks in Unity: C# Programming for Windows 10 Contributor(s): Nandy, Abhishek (Author), Biswas, Manisha (Author) |
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ISBN: 1484236726 ISBN-13: 9781484236727 Publisher: Apress OUR PRICE: $34.19 Product Type: Paperback - Other Formats Published: July 2018 |
| Additional Information |
| BISAC Categories: - Computers | Programming - Games - Computers | Programming - Microsoft - Computers | Hardware - Personal Computers - Pcs |
| Dewey: 004.165 |
| Physical Information: 0.37" H x 6.14" W x 9.21" (0.55 lbs) 158 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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
Who This Book Is For Gaming professionals, machine learning and deep learning enthusiasts. |
