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...
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|---|---|
| Médium: | Elektronický zdroj E-kniha |
| Jazyk: | angličtina |
| Vydáno: |
Berkeley, CA :
Apress,
2018.
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| Vydání: | 1st ed. 2018. |
| Témata: | |
| ISBN: | 9781484236734 |
| On-line přístup: |
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| 003 | SK-BrCVT | ||
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| 007 | cr nn 008mamaa | ||
| 008 | 180714s2018 xxu| s |||| 0|eng d | ||
| 020 | |a 9781484236734 | ||
| 024 | 7 | |a 10.1007/978-1-4842-3673-4 |2 doi | |
| 035 | |a CVTIDW12052 | ||
| 040 | |a Springer-Nature |b eng |c CVTISR |e AACR2 | ||
| 041 | |a eng | ||
| 100 | 1 | |a Nandy, Abhishek. |4 aut | |
| 245 | 1 | 0 | |a Neural Networks in Unity |h [electronic resource] : |b C# Programming for Windows 10 / |c by Abhishek Nandy, Manisha Biswas. |
| 250 | |a 1st ed. 2018. | ||
| 260 | 1 | |a Berkeley, CA : |b Apress, |c 2018. | |
| 300 | |a XI, 158 p. 107 illus. |b online resource. | ||
| 500 | |a Professional and Applied Computing | ||
| 505 | 0 | |a Chapter 1: Core Concepts of Neural Networks -- Chapter 2: Different types of Neural Network -- Chapter 3: Neural Network with Unity -- Chapter 4: Back propagation using Unity -- Chapter 5: Neural Network with Processing and Windows 10 UWP. | |
| 516 | |a text file PDF | ||
| 520 | |a 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. You will: 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. | ||
| 650 | 0 | |a Computer games-Programming. | |
| 650 | 0 | |a Microsoft software. | |
| 650 | 0 | |a Microsoft .NET Framework. | |
| 856 | 4 | 0 | |u http://hanproxy.cvtisr.sk/han/cvti-ebook-springer-eisbn-978-1-4842-3673-4 |y Vzdialený prístup pre registrovaných používateľov |
| 910 | |b ZE09332 | ||
| 919 | |a 978-1-4842-3673-4 | ||
| 974 | |a andrea.lebedova |f Elektronické zdroje | ||
| 992 | |a SUD | ||
| 999 | |c 276118 |d 276118 | ||