عنوان

Artificial neural networks with Java :

(Number (ISBN

1484244214

(Number (ISBN

1484244222

(Number (ISBN

9781484244210

(Number (ISBN

9781484244227

Erroneous ISBN

1484244206

Erroneous ISBN

9781484244203

Title Proper

Artificial neural networks with Java :

General Material Designation

[Book]

Other Title Information

tools for building neural network applications /

First Statement of Responsibility

Igor Livshin.

Place of Publication, Distribution, etc.

[Berkeley, CA] :

Name of Publisher, Distributor, etc.

Apress,

Date of Publication, Distribution, etc.

2019.

Specific Material Designation and Extent of Item

1 online resource (xix, 566 pages) :

Other Physical Details

illustrations

Text of Note

Includes index.

Text of Note

Chapter 1. Learning Neural Networks -- Chapter 2. Internal Mechanism of Neural Network Processing -- Chapter 3. Manual Neural Network Processing -- Chapter 4. Java Environment and Development Tools for Building Neural Network Applications -- Chapter 5. Neural Network Development Using Java Framework -- Chapter 6. Neural network Prediction outside of the Training Range -- Chapter 7. Processing More Complex Periodic Functions -- Chapter 8. Processing Non-continuous Functions -- Chapter 9. Approximation Continuous Functions with Complex Topology -- Chapter 10. Using Neural Network for Classification of Objects -- Chapter 11. Importance of Selecting a Correct Model -- Chapter 12. Approximation of Functions in 3-D Space.

0

Text of Note

Use Java to develop neural network applications in this practical book. After learning the rules involved in neural network processing, you will manually process the first neural network example. This covers the internals of front and back propagation, and facilitates the understanding of the main principles of neural network processing. Artificial Neural Networks with Java also teaches you how to prepare the data to be used in neural network development and suggests various techniques of data preparation for many unconventional tasks. The next big topic discussed in the book is using Java for neural network processing. You will use the Encog Java framework and discover how to do rapid development with Encog, allowing you to create large-scale neural network applications. The book also discusses the inability of neural networks to approximate complex non-continuous functions, and it introduces the micro-batch method that solves this issue. The step-by-step approach includes plenty of examples, diagrams, and screen shots to help you grasp the concepts quickly and easily. What You Will Learn Prepare your data for many different tasks Carry out some unusual neural network tasks Create neural network to process non-continuous functions Select and improve the development model Who This Book Is For Intermediate machine learning and deep learning developers who are interested in switching to Java.

Source for Acquisition/Subscription Address

OverDrive, Inc.

Source for Acquisition/Subscription Address

Springer Nature

Stock Number

092187CC-1B39-42B5-9F4F-65451A8329FF

Stock Number

com.springer.onix.9781484244210

Title

Artificial neural networks with Java.

International Standard Book Number

9781484244203

Java (Computer program language)

Neural networks (Computer science)

Java (Computer program language)

Neural networks (Computer science)

COM051280

UMX

UMX

Number

Edition

Class number

Livshin, Igor

Date of Transaction

20200823032730.0

Cataloguing Rules (Descriptive Conventions))

pn

Electronic name

[Book]

Y