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Can I read Neural Network Programming with Java: Create and unleash the power of neural networks by implementing professional Java code on EtoBox?

Neural Network Programming with Java: Create and unleash the power of neural networks by implementing professional Java code by Alan M.F. Souza, Fabio M. Soares is a nonfiction available to read on EtoBox.

What is Neural Network Programming with Java: Create and unleash the power of neural networks by implementing professional Java code about?

**Create and unleash the power of neural networks by implementing professional Java code** About This BookLearn to build amazing projects using neural networks including forecasting the weather and pattern recognition Explore the Java multi-platform feature to run your personal neural networks everywhere This step-by-step guide will help you solve real-world problems and links neural network theory to their application Who This Book Is ForThis book is for Java developers with basic Java programming knowledge. No previous knowledge of neural networks is required as this book covers the concepts from scratch. What You Will Learn* Get to grips with the basics of neural networks and what they are used for * Develop neural networks using hands-on examples * Explore and code the most widely-used learning algorithms to make your neural network learn from most types of data * Discover the power of neural network's unsupervised learning process to extract the intrinsic knowledge hidden behind the data * Apply the code generated in practical examples, including weather forecasting and pattern recognition * Understand how to make the best choice of learning parameters to ensure you have a mor

Who reads Neural Network Programming with Java: Create and unleash the power of neural networks by implementing professional Java code?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Alan M.F. Souza, Fabio M. Soares
Publisher
Packt Publishing, Limited
Published
2016
Language
EN
ISBN
9781785884948
Category
nonfiction
Subjects
Science, Computer Science, Stem

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