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portada Neural Networks in Unity: C# Programming for Windows 10
Type
Physical Book
Author
Publisher
Language
English
Pages
158
Format
Paperback
Dimensions
23.4x15.6x0.9 cm
Weight
0.25 kg.
ISBN13
9781484236727
Categories

Neural Networks in Unity: C# Programming for Windows 10

Abhishek Nandy (Author) · Manisha Biswas (Author) · Apress · Paperback

Neural Networks in Unity: C# Programming for Windows 10 - Nandy, Abhishek ; Biswas, Manisha

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Synopsis "Neural Networks in Unity: C# Programming for Windows 10"

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.

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