May 2024
Intermediate to advanced
208 pages
4h 17m
Chinese
Overview
用Java代码释放神经网络无穷力量
Key Features
- 本书完整地演示了使用Java开发神经网络的过程
- 既有非常基础的实例也有高级实例。
Book Description
神经网络已成为从大量原始的，看似无关的数据中提取有用知识的强大技术。 Java语言是用于实现神经网络的最合适的工具之一，也是现阶段非常流行的编程语言之一，包含多种有助于开发的API和包，具有“一次编写，随处运行”的可移植性。
本书完整地演示了使用Java开发神经网络的过程，既有非常基础的实例也有高级实例。首先，你将学习神经网络的基础知识、感知机及其特征。 然后，你将使用学到的概念来实现自组织映射网络。 此外，你还会了解一些应用，如天气预报、疾病诊断、客户特征分析和光学字符识别（OCR）等。 最后，你将学习实时优化和自适应神经网络的方法。
本书所有的示例都提供了说明性的源代码，这些源代码综合了面向对象编程（OOP）概念和神经网络特性，以帮助你更好的学习。
What you will learn
- 掌握神经网络的知识及其用途；
- 运用常见实例开发神经网络；
- 探索和编码最广泛使用的学习算法，让你的神经网络可以从大多数类型的数据中学习 知识；
- 发现神经网络的无监督学习过程的力量，提取隐藏在数据背后的内在知识；
- 应用实际示例（如天气预测和模式识别）中生成的代码；
- 了解如何选择最合适的学习参数，以确保应用更高效；
- 选择数据集，将数据集切分为训练集、测试集和验证集，并探索验证策略；
- 了解如何改善和优化神经网络。
Who this book is for
Java编程者、算法研究人员、高校计算机专业的老师和学生、对神经网络技术感兴趣的开发人员和业余读者
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