LEADER 04679nam 22006975 450 001 9910523765803321 005 20260810133820.0 010 $a9781523150922 010 $a1523150920 010 $a9781484273685 010 $a1484273680 024 7 $a10.1007/978-1-4842-7368-5 035 $a(CKB)4950000000281835 035 $a(MiAaPQ)EBC6785174 035 $a(Au-PeEL)EBL6785174 035 $a(OCoLC)1281957925 035 $a(OCoLC-P)1281957925 035 $a(CaSebORM)9781484273685 035 $a(Perlego)4513766 035 $a(DE-He213)978-1-4842-7368-5 035 $a(EXLCZ)994950000000281835 100 $a20220124d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aArtificial Neural Networks with Java $eTools for Building Neural Network Applications /$fby Igor Livshin 205 $a2nd ed. 2022. 210 1$aBerkeley, CA :$cApress :$cImprint: Apress,$d2022. 215 $a1 online resource (635 pages) 300 $aIncludes index. 311 08$a9781484273678 311 08$a1484273672 327 $aPart 1: Getting Started with Neural Networks -- Chapter 1. Learning Neural Network -- Chapter 2. Internal Mechanism of Neural Network Processing -- Chapter 3. Manual Neural Network Processing -- Part 2: Neural Network Java Development Environment -- Chapter 4. Configuring Your Development Environment -- Chapter 5. Neural Network Development Using Java Encog Framework -- Chapter 6. Neural Network Prediction Outside of the Training Range -- Chapter 7. Processing Complex Periodic Functions -- Chapter 8. Approximating 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 the Correct Model -- Chapter 12. Approximation of Functions in 3-D Space -- Part 3: Introduction to Computer Vision -- Chapter 13. Image Recognition -- Chapter 14. Classification of Handwritten Digits. . 330 $aDevelop neural network applications using the Java environment. After learning the rules involved in neural network processing, this second edition shows you how to manually process your first neural network example. The book covers the internals of front and back propagation and helps you understand the main principles of neural network processing. You also will learn how to prepare the data to be used in neural network development and you will be able to suggest various techniques of data preparation for many unconventional tasks. This book discusses the practical aspects of using Java for neural network processing. You will know how to use the Encog Java framework for processing large-scale neural network applications. Also covered is the use of neural networks for approximation of non-continuous functions. In addition to using neural networks for regression, this second edition shows you how to use neural networks for computer vision.It focuses on image recognition such as the classification of handwritten digits, input data preparation and conversion, and building the conversion program. And you will learn about topics related to the classification of handwritten digits such as network architecture, program code, programming logic, and execution. The step-by-step approach taken in the book includes plenty of examples, diagrams, and screenshots to help you grasp the concepts quickly and easily. What You Will Learn Use Java for the development of neural network applications Prepare data for many different tasks Carry out some unusual neural network processing Use a neural network to process non-continuous functions Develop a program that recognizes handwritten digits. 606 $aArtificial intelligence 606 $aJava (Computer program language) 606 $aProgramming languages (Electronic computers) 606 $aOpen source software 606 $aArtificial Intelligence 606 $aJava 606 $aProgramming Language 606 $aOpen Source 615 0$aArtificial intelligence. 615 0$aJava (Computer program language) 615 0$aProgramming languages (Electronic computers) 615 0$aOpen source software. 615 14$aArtificial Intelligence. 615 24$aJava. 615 24$aProgramming Language. 615 24$aOpen Source. 676 $a006.32 700 $aLivshin$b Igor$0905428 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910523765803321 996 $aArtificial Neural Networks with Java$92536855 997 $aUNINA