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This book is an exploration of neural networks and how to implement them in Java. First, the reader is guided so as to understand what;
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Develop neural network applications using the Java environment. After learning the rules involved in neural network processing, this second;
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understanding of the main principles of neural network processing. Artificial Neural Networks with Java also teaches you how to prepare the data to be;
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understanding of the main principles of neural network processing. Artificial Neural Networks with Java also teaches you how to prepare the data to be;
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book is for you. Basic understanding of Java programming as well as some experience with machine learning and neural networks is required to;
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writing sophisticated network applications. Packed with useful examples, it is the essential resource for any serious Java developer.;
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"Introduction to Neural Networks for Java" introduces the Java programmer to the world of Neural Networks and Artificial Intelligence;
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supports the book with additional instructional materials. JavaTech demonstrates the ease with which Java can be used to create powerful network;
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supports the book with additional instructional materials. JavaTech demonstrates the ease with which Java can be used to create powerful network;
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Programming the Internet with Java is designed to teach students how to program in Java - in particular, those concepts that relate to the;
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well as how to write network programs with the new Java 9 and much more. Java APIs, Extensions and Libraries is for Java programmers who are;
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network works is also explored. You are then guided on how to implement neural networks with Neupy, another Python library.The following topics;
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This text on evolutionary computation presents an account of neural network and evolutionary programming applications as optimization;
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any online entitlements included with the product. Develop, Compile, and Debug High-Performance Java ApplicationsTake your Java;
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naturally leading to changes in the former. During this time, the Java libraries have been updated to keep up with the new developments in network;
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second level course. Covering various developments in Java programming, this book introduces topics such as advanced graphics programming;
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Java continues to grow and evolve, and this cookbook continues to evolve in tandem. With this guide, you'll get up to speed right away with;
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Harness the hidden power of Java to build network-enabled applications with lower network traffic and faster processes About This Book;
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This work introduces concepts and algorithms in optimization theory for neural network research, covers the main neural network models and;
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programming: web services, Java servlets, network programming, database programming and Android development.;
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conventional techniques of fault analysis. The authors provide insight into artificial neural networks and their applications, with illustrations, for;
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the following Packt books: 1. Java Deep Learning Essentials 2. Machine Learning in Java 3. Neural Network Programming with Java, Second;
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Work with the essential and advanced features of the Java 17 release. This book covers features such as annotations, reflection, and;
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The third edition of the successful textbook, Java in Two Semesters, provides a comprehensive treatment of object-oriented programming;
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This text serves as a cookbook for neural network solutions to practical problems using C++. It will enable those with moderate programming;
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Solutions for modular, functional, reactive, GUI, network, and multithreaded programming Key Features Explore the latest features of Java;
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A comprehensive guide to get started with Java and gain insights into major concepts such as object-oriented, functional, and reactive;
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