Neural Networks in Unity : C# Programming for Windows 10
Book Details
Format
Paperback / Softback
ISBN-10
1484236726
ISBN-13
9781484236727
Publisher
APress
Imprint
APress
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Jul 15th, 2018
Print length
158 Pages
Product Classification:
Microsoft programmingNeural networks & fuzzy systemsNeural networks and fuzzy systems
Ksh 5,400.00
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Learn the core concepts of neural networks and discover the different types of neural network, using Unity as your platform.
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.
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