Programming Neural Networks with Encog3 in Java
by Jeff Heaton
Publisher: Heaton Research 2011
Number of pages: 242
The book introduces the Java programmer to the world of Neural Networks and Artificial Intelligence. Neural network architectures, such as the feedforward, Hopfield, and self-organizing map architectures are discussed. Training techniques, such as backpropagation, genetic algorithms and simulated annealing are also introduced.
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by Mark Grand - O'Reilly
The book goes into great detail about every aspect of the Java programming language, from the definition of data types to the syntax of expressions and control structures. The goal is to help you understand all of the subtle nuances of Java.
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