語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Neural networks in Unity = C# progra...
~
SpringerLink (Online service)
Neural networks in Unity = C# programming for Windows 10 /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Neural networks in Unity/ by Abhishek Nandy, Manisha Biswas.
其他題名:
C# programming for Windows 10 /
作者:
Nandy, Abhishek.
其他作者:
Biswas, Manisha.
出版者:
Berkeley, CA :Apress : : 2018.,
面頁冊數:
xi, 158 p. :digital ; : 24 cm.;
Contained By:
Springer eBooks
標題:
Neural networks (Computer science) - Computer programs. -
電子資源:
http://dx.doi.org/10.1007/978-1-4842-3673-4
ISBN:
9781484236734
Neural networks in Unity = C# programming for Windows 10 /
Nandy, Abhishek.
Neural networks in Unity
C# programming for Windows 10 /[electronic resource] :by Abhishek Nandy, Manisha Biswas. - Berkeley, CA :Apress :2018. - xi, 158 p. :digital ;24 cm.
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.
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.
ISBN: 9781484236734
Standard No.: 10.1007/978-1-4842-3673-4doiSubjects--Uniform Titles:
Unity (Electronic resource)
Subjects--Topical Terms:
1207890
Neural networks (Computer science)
--Computer programs.
LC Class. No.: QA76.87 / .N363 2018
Dewey Class. No.: 006.32
Neural networks in Unity = C# programming for Windows 10 /
LDR
:02173nam a2200289 a 4500
001
928108
003
DE-He213
005
20190213151257.0
006
m d
007
cr nn 008maaau
008
190626s2018 cau s 0 eng d
020
$a
9781484236734
$q
(electronic bk.)
020
$a
9781484236727
$q
(paper)
024
7
$a
10.1007/978-1-4842-3673-4
$2
doi
035
$a
978-1-4842-3673-4
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA76.87
$b
.N363 2018
082
0 4
$a
006.32
$2
23
090
$a
QA76.87
$b
.N176 2018
100
1
$a
Nandy, Abhishek.
$3
1115992
245
1 0
$a
Neural networks in Unity
$h
[electronic resource] :
$b
C# programming for Windows 10 /
$c
by Abhishek Nandy, Manisha Biswas.
260
$a
Berkeley, CA :
$b
Apress :
$b
Imprint: Apress,
$c
2018.
300
$a
xi, 158 p. :
$b
digital ;
$c
24 cm.
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.
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.
630
0 0
$a
Unity (Electronic resource)
$3
796824
650
0
$a
Neural networks (Computer science)
$x
Computer programs.
$3
1207890
650
0
$a
C# (Computer program language)
$3
561605
650
1 4
$a
Computer Science.
$3
593922
650
2 4
$a
Game Development.
$3
1114505
650
2 4
$a
Microsoft and .NET.
$3
1114109
700
1
$a
Biswas, Manisha.
$3
1207889
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer eBooks
856
4 0
$u
http://dx.doi.org/10.1007/978-1-4842-3673-4
950
$a
Professional and Applied Computing (Springer-12059)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入