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商品描述
The utility of artificial neural network models lies in the fact that they can be used to infer functions from observations—making them especially useful in applications where the complexity of data or tasks makes the design of such functions by hand impractical.
Exploring Neural Networks with C# presents the important properties of neural networks—while keeping the complex mathematics to a minimum. Explaining how to build and use neural networks, it presents complicated information about neural networks structure, functioning, and learning in a manner that is easy to understand.
Taking a "learn by doing" approach, the book is filled with illustrations to guide you through the mystery of neural networks. Examples of experiments are provided in the text to encourage individual research. Online access to C# programs is also provided to help you discover the properties of neural networks.
Following the procedures and using the programs included with the book will allow you to learn how to work with neural networks and evaluate your progress. You can download the programs as both executable applications and C# source code from http://home.agh.edu.pl/~tad//index.php?page=programy&lang=en
商品描述(中文翻譯)
人工神經網路模型的實用性在於它們可以從觀察中推斷函數—這使得它們在數據或任務的複雜性使得手動設計這些函數不切實際的應用中尤其有用。
《用 C# 探索神經網路》介紹了神經網路的重要特性，同時將複雜的數學內容保持在最低限度。這本書解釋了如何構建和使用神經網路，以易於理解的方式呈現有關神經網路結構、功能和學習的複雜信息。
本書採取「邊學邊做」的方法，充滿了插圖來引導您了解神經網路的奧秘。文本中提供了實驗的範例，以鼓勵個人研究。還提供了 C# 程式的線上訪問，以幫助您發現神經網路的特性。
遵循本書中包含的程序並使用所提供的程式，將使您學會如何使用神經網路並評估您的進展。您可以從 http://home.agh.edu.pl/~tad//index.php?page=programy&lang=en 下載這些程式，格式包括可執行應用程式和 C# 原始碼。
