عنوان

Neural Networks in Unity :

شابک

1484236734

شابک

9781484236734

شابک اشتباه

1484236726

شابک اشتباه

9781484236727

عنوان اصلي

Neural Networks in Unity :

نام عام مواد

[Book]

ساير اطلاعات عنواني

C# Programming for Windows 10 /

نام نخستين پديدآور

Abhishek Nandy, Manisha Biswas.

محل نشرو پخش و غیره

California :

نام ناشر، پخش کننده و غيره

Apress,

تاریخ نشرو بخش و غیره

[2018]

تاریخ نشرو بخش و غیره

©2018

نام خاص و کميت اثر

1 online resource

متن يادداشت

Includes index.

متن يادداشت

Intro; Table of Contents; About the Authors; About the Technical Reviewer; Introduction; Chapter 1: Neural Network Basics; Introducing Neural Networks; Digging Deeper into Neural Networks; Perceptron; Activation Function andIts Different Types; Identity Function; Binary Step Function; Logistic or Sigmoid; Tan H Function; Arctan Function; Rectified Linear Unit; Leaky ReLU; Softmax Function; Biases andWeights; Neural Network fromScratch; Backpropagation; Summary; Chapter 2: Unity ML-Agents; Unity IDE; Getting Started withMachine Learning Agents; Let's Start withTensorFlow

متن يادداشت

Backpropogation inUnity C#Constructing Data Structures; Feed Forwarding andInitializing Weights; Testing of Backpropagation Neural Network; Summary; Chapter 5: Data Visualization inUnity; Machine Learning Data Visualization inUnity; Data Parsing; Working withDatasets; Another Example; Summary; Index

متن يادداشت

Understanding AnacondaWhat Is theNVDIA CUDA Toolkit?; GPU-Accelerated TensorFlow; Building aProject inUnity; Internal Operations forMachine Learning; Training Anaconda inPython Mode; Working withJupyter Notebook; Proximity Policy Optimization; Summary; Chapter 3: Machine Learning Agents andNeural Network inUnity; Extending theUnity ML-Agents withFurther Examples; Crawler Project; Testing theSimulation; Neural Network withUnity C#; Creating DataStructures; Experimenting withtheSpider Asset; Summary; Chapter 4: Backpropagation inUnity C#; Going Further into Backpropagation

بدون عنوان

0

بدون عنوان

8

بدون عنوان

8

متن يادداشت

"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."--

منبع سفارش / آدرس اشتراک

Safari Books Online

شماره انبار

CL0500000985

عنوان

Neural Networks in Unity.

شماره استاندارد بين المللي کتاب و موسيقي

9781484236727

موضوع مستند نشده

Unity (Electronic resource)

موضوع مستند نشده

Unity (Electronic resource)

موضوع مستند نشده

C# (Computer program language)

موضوع مستند نشده

Neural networks (Computer science)-- Computer programs.

موضوع مستند نشده

C# (Computer program language)

موضوع مستند نشده

COMPUTERS-- General.

موضوع مستند نشده

Games development & programming.

موضوع مستند نشده

Microsoft programming.

موضوع مستند نشده

COM-- 000000

شماره

ويراست

شماره رده

مستند نام اشخاص تاييد نشده

Nandy, Abhishek

مستند نام اشخاص تاييد نشده

Biswas, Manisha

تاريخ عمليات

20200823032202.0

قواعد فهرست نويسي ( بخش توصيفي )

pn

نام الکترونيکي

نوع ماده

[Book]

تكميل شده

Y