Neural Networks in Unity - Manisha Biswas,Abhishek Nandy eBook
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Neural Networks in Unity

C# Programming for Windows 10

Manisha Biswas, Abhishek Nandy

  • Apress

  • Publication date : 2018-07-14

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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 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.

About the book
Author
Manisha  Biswas , Abhishek  Nandy
Imprint
Apress
Collection
n.c
Publication date
2018-07-14
Pages
158 pages
Print ISBN
9781484236727
Language
English
Ebook informations
EAN PDF
9781484236734
Price
£29.99
Read more
Copy count 1
Print count 15
File size 6328 Ko
Ce livre est accessible aux handicaps   Informations accessibility
EAN EPUB
9781484236734
Price
£29.99
Read more
Copy count 1
Print count 15
File size 7342 Ko
Ce livre est accessible aux handicaps   Informations accessibility
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About author(s)


Defaut-Illustration Manisha Biswas
Defaut-Illustration Abhishek Nandy

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