Neural Network Programming with Java, 2/e (Paperback)

Fabio M. Soares, Alan M. F. Souza

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商品描述

Create and unleash the power of neural networks by implementing professional Java code

About This Book

  • Learn 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 For

This book is for Java developers who want to know how to develop smarter applications using the power of neural networks. Those who deal with a lot of complex data and want to use it efficiently in their day-to-day apps will find this book quite useful. Some basic experience with statistical computations is expected.

What You Will Learn

  • Develop an understanding of neural networks and how they can be fitted
  • Explore the learning process of neural networks
  • Build neural network applications with Java using hands-on examples
  • 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 more effective application
  • Select and split data sets into training, test, and validation, and explore validation strategies

In Detail

Want to discover the current state-of-art in the field of neural networks that will let you understand and design new strategies to apply to more complex problems? This book takes you on a complete walkthrough of the process of developing basic to advanced practical examples based on neural networks with Java, giving you everything you need to stand out.

You will first learn the basics of neural networks and their process of learning. We then focus on what Perceptrons are and their features. Next, you will implement self-organizing maps using practical examples. Further on, you will learn about some of the applications that are presented in this book such as weather forecasting, disease diagnosis, customer profiling, generalization, extreme machine learning, and characters recognition (OCR). Finally, you will learn methods to optimize and adapt neural networks in real time.

All the examples generated in the book are provided in the form of illustrative source code, which merges object-oriented programming (OOP) concepts and neural network features to enhance your learning experience.

Style and approach

This book takes you on a steady learning curve, teaching you the important concepts while being rich in examples. You'll be able to relate to the examples in the book while implementing neural networks in your day-to-day applications.

商品描述(中文翻譯)

創建並發揮神經網絡的力量,通過實現專業的Java代碼

關於本書


  • 學習使用神經網絡建立令人驚嘆的項目,包括天氣預測和模式識別

  • 探索Java多平台功能,使您的個人神經網絡在任何地方運行

  • 這本逐步指南將幫助您解決現實世界的問題,並將神經網絡理論與其應用相關聯

本書適合對象

本書適合Java開發人員,他們想要了解如何使用神經網絡開發更智能的應用程序。那些處理大量複雜數據並希望在日常應用程序中高效使用它的人會發現本書非常有用。預期具有一些基本的統計計算經驗。

您將學到什麼


  • 了解神經網絡以及如何擬合它們

  • 探索神經網絡的學習過程

  • 使用實例在Java中構建神經網絡應用程序

  • 發現神經網絡的無監督學習過程,以提取數據背後隱藏的內在知識

  • 應用在實際例子中生成的代碼,包括天氣預測和模式識別

  • 了解如何選擇最佳的學習參數,以確保您擁有更有效的應用程序

  • 選擇並拆分數據集為訓練、測試和驗證,並探索驗證策略

詳細內容

想要了解神經網絡領域的最新技術,以便理解並設計應用於更複雜問題的新策略嗎?本書將帶您完整地了解使用Java開發基本到高級實例的神經網絡過程,為您提供一切所需,使您脫穎而出。

您將首先學習神經網絡的基礎知識及其學習過程。然後,我們專注於感知器及其特性。接下來,您將使用實例實現自組織映射。此外,您還將了解本書中介紹的一些應用,例如天氣預測、疾病診斷、客戶概況、泛化、極端機器學習和字符識別(OCR)。最後,您將學習實時優化和適應神經網絡的方法。

本書中生成的所有示例都以示例源代碼的形式提供,該源代碼結合了面向對象編程(OOP)概念和神經網絡特性,以增強您的學習體驗。

風格和方法

本書以平穩的學習曲線帶您進入重要概念,同時豐富實例。您將能夠在實施神經網絡於日常應用程序時與本書中的示例產生聯繫。