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Neural Networks in Unity

Publisher: Apress
Author: Abhishek Nandy, Manisha Biswas
ISBN-10:1484236726
ISBN-13 (electronic): 978-1-4842-3673-4
Pages: 158
Language: English
Year: 2018
File: ebook PDF

C# Programming for Windows 10

ENRUTable of contentsFilesAdditionally

Book Description:

Learn the core concepts of neural networks and discover the different types of neural network, using Unity as your platform. In this Neural Networks in Unity 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.

Neural Networks in Unity.

Описание книги:

В этой книге вы начнете с изучения обратного распространения и неконтролируемых нейронных сетей с Unity и C#. Затем вы перейдете к функциям активации, таким как сигмоидные функции, функции шага и т. д. Изучите основные понятия нейронных сетей и откройте для себя различные типы нейронных сетей, используя Unity в качестве своей платформы. После изучения основ, вы начнете программировать в Unity на C#. Рассмотрено построение нейронных сетей для неконтролируемого обучения.

Представлена нейронная сеть в терминах структур данных C# и смоделирована как нейронная сеть в Unity. Наконец, перед компиляцией проекта необходимо определить обратное распространение с помощью Unity C#. Автор также объясняет все вариации нейронных сетей, такие как feed forward, recurrient и radial.

Neural Networks in Unity

  • Chapter 1: Neural Network Basics
    Introducing Neural Networks
    Digging Deeper into Neural Networks
    Perceptron
    Activation Function and Its Different Types
    Biases and Weights
    Neural Network from Scratch
    Backpropagation
    Summary
  • Chapter 2: Unity ML-Agents
    Unity IDE
    Getting Started with Machine Learning Agents
    Internal Operations for Machine Learning
  • Chapter 3: Machine Learning Agents and Neural Network in Unity
    Extending the Unity ML-Agents with Further Examples
    Crawler Project
    Testing the Simulation
    Neural Network with Unity C#
    Creating DataStructures
    Experimenting with the Spider Asset
    Summary
  • Chapter 4: Backpropagation in Unity
    Going Further into Backpropagation
    Backpropogation in Unity C#
    Constructing Data Structures
    Feed Forwarding and Initializing Weights
    Testing of Backpropagation Neural Network
    Summary
  • Chapter 5: Data Visualization in Unity
    Machine Learning Data Visualization in Unity
    Data Parsing
    Working with Datasets
    Another Example
    Summary
    Index
From external sourcelink
Source Codelink
mirrorlink
Referring to wikipedia.org, you can view a list of well-known games using the Unity engine version.

List of Unity games 

Book on publisher site

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Evolution of Neural Networks using Genetic Algorithm for a 3D car made in Unity

https://mydevbook.info/wp-content/uploads/2019/03/Neural-Networks-in-Unity.jpghttps://mydevbook.info/wp-content/uploads/2019/03/Neural-Networks-in-Unity-150x150.jpgXeldredUnity game developmentAbhishek Nandy,Apress,Manisha Biswas,UnityPublisher: Apress Author: Abhishek Nandy, Manisha Biswas ISBN-10:1484236726 ISBN-13 (electronic): 978-1-4842-3673-4 Pages: 158 Language: English Year: 2018 File: ebook PDF C# Programming for Windows 10 Evolution of Neural Networks using Genetic Algorithm for a 3D car made in UnityBooks for game developers
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