神经网络的功能实例——如何感受？
我正在寻找推荐的书籍（或其他材料，如网页）来演示此类示例——给定功能的神经网络（人工）结构。
即对于具有 N 个参数的函数 min 来说，最好的（从某种意义上来说，简约但正确的）网络结构是什么。或者对于函数abs。等等。
我的问题（你推荐什么书？）的原因是我想获得适当的“感觉”，如何塑造网络以获得所需的效果，而不会过度杀伤具有正确计算的密集网络，但是效率非常低。
I am looking for recommended books (or other materials, like web pages) which demonstrate such examples -- structure of neural network (artificial) for given function.
I.e. what is the best (in sense, of being minimalistic, yet correct) network structure for function min with N arguments. Or for function abs. And so on.
The reason for my question (what books do you recommend?) is I would like to get proper "feeling" how to shape the network to get the desired effect without overkill having dense network which computes correctly, but very inefficiently.
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不存在“最好的神经网络结构”这样的东西。如果幸运的话，您会找到一个可以完成这项工作的结构，但这并不意味着该结构是“最好的”。
我强烈建议您阅读 Toby Segaran 的《集体智慧编程》。这本书有一章是关于神经网络的。它以清晰简洁的方式解释了许多其他人工智能算法。
您可能会找到有关神经网络的其他广泛评论 这里和这里
有一个关于iTunes的讲座课程-你称为“护理信息学”，其中包含几个专门针对 ANN 的讲座2019 年 6 月更新：iTunes-U 课程不再可用，我在其他地方找不到它
祝你好运
There is no such thing as "the best NN structure". If you are lucky, you will find a structure that does the job, but that doesn't mean that that structure is the "best".
I highly recommend you reading Programming Collective Intelligence by Toby Segaran. This book has a chapter on neural network. It explains many other artificial intelligence algorithms in a clear and concise way.
You may find additional wide reviews on neural networks here and here
There is a lecture course on iTunes-U called "Informatics for Nursing" that contains several lectures dedicated to ANN'sUPDATE June 2019: the iTunes-U course is no longer available and I couldn't find it elsewhere
Good luck