blocks|key|435213|text|问得好。关于神经网络(+NN+)主题的书籍和在线文本令人印象深刻，但其中许多要么非常技术性，要么专注于神经网络应用的一些特定领域，人工视觉、模式识别和信号处理是这一流派的“天然”领导者。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|435214|我想附和Chaos的建议|435215|神经网络的基础|offset|length|style|BOLD|435216|*架构、算法和应用|435217|作者:+Laurene+Fausett|435218|作为对该领域的介绍，这本书在可访问性、细节和覆盖范围方面取得了良好的平衡。另一种选择是1995-2000年左右的较老的书籍，它们往往是一种更粗俗的类型。|435219|你也可以通过在线资源来满足你的胃口，比如：|435220|快速扫描NN+FAQs：A+|435221|A+tutorial+from+learnartificialneuralnetworks.com+(该站点本身也有几个很好的参考资料)|unordered-list-item|435222|A+class+at+Williamette+University|435223|When+all+fails，A+from+of+NN+FAQs|435224|435225|最后，冒着迷惑您的风险，当您需要对这个主题有一个宽广的视角时，我想介绍一个特定类型的神经网络：Numenta's+Hierarchical+Temporal+Memory概念。|435226|entityMap|0|LINK|mutability|MUTABLE|url|ftp://ftp.sas.com/pub/neural/FAQ.html|1|http://www.learnartificialneuralnetworks.com/|2|http://www.willamette.edu/~gorr/classes/cs449/intro.html|3|4|http://www.numenta.com/Numenta_HTM_Concepts.pdf^0|0|0|5|2|0|0|0|0|0|4|7|0|0|G|X|1|0|2|V|2|0|P|7|3|0|0|1B|12|4|0^^$0|@$1|2|3|4|5|6|7|1I|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|1J|8|@]|9|@]|A|$]]|$1|D|3|E|5|6|7|1K|8|@$F|1L|G|1M|H|I]]|9|@]|A|$]]|$1|J|3|K|5|6|7|1N|8|@]|9|@]|A|$]]|$1|L|3|M|5|6|7|1O|8|@]|9|@]|A|$]]|$1|N|3|O|5|6|7|1P|8|@]|9|@]|A|$]]|$1|P|3|Q|5|6|7|1Q|8|@]|9|@]|A|$]]|$1|R|3|S|5|6|7|1R|8|@]|9|@$F|1S|G|1T|1|1U]]|A|$]]|$1|T|3|U|5|V|7|1V|8|@]|9|@$F|1W|G|1X|1|1Y]]|A|$]]|$1|W|3|X|5|V|7|1Z|8|@]|9|@$F|20|G|21|1|22]]|A|$]]|$1|Y|3|Z|5|V|7|23|8|@]|9|@$F|24|G|25|1|26]]|A|$]]|$1|10|3|-4|5|6|7|27|8|@]|9|@]|A|$]]|$1|11|3|12|5|6|7|28|8|@]|9|@$F|29|G|2A|1|2B]]|A|$]]|$1|13|3|-4|5|6|7|2C|8|@]|9|@]|A|$]]]|14|$15|$5|16|17|18|A|$19|1A]]|1B|$5|16|17|18|A|$19|1C]]|1D|$5|16|17|18|A|$19|1E]]|1F|$5|16|17|18|A|$19|1A]]|1G|$5|16|17|18|A|$19|1H]]]]

Good question... There is a impressive collection of books and online texts on the subject of neural networks (NN), but many of them are either very technical or focus on somewhat specific domains of application of the NN, artificial vision, pattern recognition and signal processing being the "natural" leaders in this genre.

I'd like to second Chaos' recommendation of 
 &nbsp; Fundamentals Of Neural Networks 
 &nbsp; Architectures, Algorithms And Applications 
 &nbsp; by Laurene Fausett 

For an introduction to the field, this book strikes a good balance in terms of accessibility, detail and coverage. The alternative are older books circa 1995-2000 which tend to be a be more of the vulgarization type.

You can also wet your appetite with online resources such as:

<ul>
<li>A tutorial from <a href="http://www.learnartificialneuralnetworks.com/" rel="noreferrer">learnartificialneuralnetworks.com</a> (the site itself also has several good references)</li>
<li>A <a href="http://www.willamette.edu/~gorr/classes/cs449/intro.html" rel="noreferrer">class at Williamette University</a></li>
<li>When all fails, a quick scan of <a href="ftp://ftp.sas.com/pub/neural/FAQ.html" rel="noreferrer">NN FAQs</a></li>
</ul>

Finally, at the risk of confusing you, at a time when you need a broad view on the subject, I'd like to plug a specific type of neural network: <a href="http://www.numenta.com/Numenta_HTM_Concepts.pdf" rel="noreferrer">Numenta's Hierarchical Temporal Memory</a> concept.

blocks|key|435266|text|Checkout+http://ml-class.org斯坦福大学的在线远程教育，Andrew+Ng教授正在上课，我认为这是进入神经网络和机器学习的最好方式。也是一个关于人工智能的类似课程：http://ai-class.com，由Peter+Norvig教授，Sebastian+Thrun教授拍摄。我不能说，即使课程结束，视频和课程材料是否会在线，但如果它留下来，那将是一个非常好的资源。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|435267|也可以看看这本书：Neural+Networks+-+A+Systematic+Introduction+by+Raul+Rojas。这将提供有关安的详细信息。|435268|编辑|style|BOLD|435269|还可以查看即将到来的Coursera神经网络课程：https://www.coursera.org/course/neuralnets|435270|entityMap|0|LINK|mutability|MUTABLE|url|http://ml-class.org/|1|http://ai-class.com/|2|http://page.mi.fu-berlin.de/rojas/neural/index.html.html|3|https://www.coursera.org/course/neuralnets^0|9|J|0|2N|J|1|0|9|1L|2|0|0|2|0|P|16|3|0^^$0|@$1|2|3|4|5|6|7|Z|8|@]|9|@$A|10|B|11|1|12]|$A|13|B|14|1|15]]|C|$]]|$1|D|3|E|5|6|7|16|8|@]|9|@$A|17|B|18|1|19]]|C|$]]|$1|F|3|G|5|6|7|1A|8|@$A|1B|B|1C|H|I]]|9|@]|C|$]]|$1|J|3|K|5|6|7|1D|8|@]|9|@$A|1E|B|1F|1|1G]]|C|$]]|$1|L|3|-4|5|6|7|1H|8|@]|9|@]|C|$]]]|M|$N|$5|O|P|Q|C|$R|S]]|T|$5|O|P|Q|C|$R|U]]|V|$5|O|P|Q|C|$R|W]]|X|$5|O|P|Q|C|$R|Y]]]]

Checkout <a href="http://ml-class.org">http://ml-class.org</a> an online distant education by Stanford, Prof. Andrew Ng is taking the classes, i think it is the best way to get into Neural Networks and machine learning. Also a similar class on Artificial Intelligence: <a href="http://ai-class.com">http://ai-class.com</a> taken by Prof. Peter Norvig, Sebastian Thrun. I cannot say if the videos and course materials will be online even when the course ends, but if it stays then it would be a very good resource.

Also have a look at this book: <a href="http://page.mi.fu-berlin.de/rojas/neural/index.html.html">Neural Networks - A Systematic Introduction by Raul Rojas</a>. This will give details about ANN.

EDIT

Also checkout the upcoming Coursera Neural Network class: <a href="https://www.coursera.org/course/neuralnets">https://www.coursera.org/course/neuralnets</a>

blocks|key|435199|text|我发现Fausett's+非常容易上手。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|435200|entityMap|0|LINK|mutability|MUTABLE|url|https://rads.stackoverflow.com/amzn/click/com/0133341860^0|3|A|0|0^^$0|@$1|2|3|4|5|6|7|L|8|@]|9|@$A|M|B|N|1|O]]|C|$]]|$1|D|3|-4|5|6|7|P|8|@]|9|@]|C|$]]]|E|$F|$5|G|H|I|C|$J|K]]]]

I found <a href="https://rads.stackoverflow.com/amzn/click/com/0133341860" rel="noreferrer" rel="nofollow noreferrer">Fausett's Fundamentals of Neural Networks</a> very accessible.

blocks|key|336853|text|我已经使用神经网络工作了大约10年，我的办公桌上仍然有Neural+Networks:+A+Comprehensive+Foundation。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|336854|entityMap|0|LINK|mutability|MUTABLE|url|https://rads.stackoverflow.com/amzn/click/com/0132733501^0|R|17|0|0^^$0|@$1|2|3|4|5|6|7|L|8|@]|9|@$A|M|B|N|1|O]]|C|$]]|$1|D|3|-4|5|6|7|P|8|@]|9|@]|C|$]]]|E|$F|$5|G|H|I|C|$J|K]]]]

I have been working with Neural Networks for about 10 years, and still have <a href="https://rads.stackoverflow.com/amzn/click/com/0132733501" rel="noreferrer" rel="nofollow noreferrer">Neural Networks: A Comprehensive Foundation</a> on my desk.

blocks|key|1735792|text|有一些关于代码项目的好文章，这里只是几篇：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1735793|http://www.codeproject.com/KB/recipes/NeuralNetwork_1.aspx|offset|length|1735794|http://www.codeproject.com/KB/recipes/Backprop_ANN.aspx|1735795|http://www.codeproject.com/KB/recipes/GA_ANN_XOR.aspx|1735796|http://www.codeproject.com/KB/recipes/encogintroxorcs.aspx|1735797|entityMap|0|LINK|mutability|MUTABLE|url|1|2|3^0|0|0|1M|0|0|0|1J|1|0|0|1H|2|0|0|1M|3|0^^$0|@$1|2|3|4|5|6|7|V|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|W|8|@]|9|@$D|X|E|Y|1|Z]]|A|$]]|$1|F|3|G|5|6|7|10|8|@]|9|@$D|11|E|12|1|13]]|A|$]]|$1|H|3|I|5|6|7|14|8|@]|9|@$D|15|E|16|1|17]]|A|$]]|$1|J|3|K|5|6|7|18|8|@]|9|@$D|19|E|1A|1|1B]]|A|$]]|$1|L|3|-4|5|6|7|1C|8|@]|9|@]|A|$]]]|M|$N|$5|O|P|Q|A|$R|C]]|S|$5|O|P|Q|A|$R|G]]|T|$5|O|P|Q|A|$R|I]]|U|$5|O|P|Q|A|$R|K]]]]

There are some good articles on code project, here is just a few:

<a href="http://www.codeproject.com/KB/recipes/NeuralNetwork_1.aspx" rel="nofollow">http://www.codeproject.com/KB/recipes/NeuralNetwork_1.aspx</a>

<a href="http://www.codeproject.com/KB/recipes/Backprop_ANN.aspx" rel="nofollow">http://www.codeproject.com/KB/recipes/Backprop_ANN.aspx</a>

<a href="http://www.codeproject.com/KB/recipes/GA_ANN_XOR.aspx" rel="nofollow">http://www.codeproject.com/KB/recipes/GA_ANN_XOR.aspx</a>

<a href="http://www.codeproject.com/KB/recipes/encogintroxorcs.aspx" rel="nofollow">http://www.codeproject.com/KB/recipes/encogintroxorcs.aspx</a>

blocks|key|1734026|text|你可能想尝试使用FANN，它有针对C#的绑定(我使用的是C库)，并附带了一些示例来帮助你入门。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|1734027|entityMap|0|LINK|mutability|MUTABLE|url|http://leenissen.dk/fann/wp/^0|8|4|0|0^^$0|@$1|2|3|4|5|6|7|L|8|@]|9|@$A|M|B|N|1|O]]|C|$]]|$1|D|3|-4|5|6|7|P|8|@]|9|@]|C|$]]]|E|$F|$5|G|H|I|C|$J|K]]]]

You may like to try using <a href="http://leenissen.dk/fann/wp/" rel="nofollow">FANN</a>, it has bindings for C# (I use the C library) and comes with examples to help get you started.

blocks|key|1734046|text|试试Simon+Haykin的书，网址是：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1734047|http://www.amazon.com/Neural-Networks-Learning-Machines-Edition/dp/0131471392/ref=sr_1_1?ie=UTF8&qid=1331331157&sr=8-1|offset|length|1734048|然而，最好的方法是使用http://ml-class.org。这是一个关于解决一些有趣的ML问题的分步教程。|1734049|entityMap|0|LINK|mutability|MUTABLE|url|https://rads.stackoverflow.com/amzn/click/com/0131471392|1|http://ml-class.org/^0|0|0|3A|0|0|B|J|1|0^^$0|@$1|2|3|4|5|6|7|R|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|S|8|@]|9|@$D|T|E|U|1|V]]|A|$]]|$1|F|3|G|5|6|7|W|8|@]|9|@$D|X|E|Y|1|Z]]|A|$]]|$1|H|3|-4|5|6|7|10|8|@]|9|@]|A|$]]]|I|$J|$5|K|L|M|A|$N|O]]|P|$5|K|L|M|A|$N|Q]]]]

Try Simon Haykin's book at:

<a href="https://rads.stackoverflow.com/amzn/click/com/0131471392" rel="nofollow noreferrer" rel="nofollow noreferrer">http://www.amazon.com/Neural-Networks-Learning-Machines-Edition/dp/0131471392/ref=sr_1_1?ie=UTF8&amp;qid=1331331157&amp;sr=8-1</a>

However, the best way do it the <a href="http://ml-class.org" rel="nofollow noreferrer">http://ml-class.org</a>. It is a step-by-step tutorial on solving a few interesting ML problems.

I want to learn more about AI and neural networks. I have some basic idea what it is and how it works, but I want to find a good book or tutorial with good explanations.

Anyone know of some good material ( that is not too technically written ) to read on the subject?

C# implementations are also helpful.

Neural Networks

翻译质量差，导致语言生硬或混乱。

没有提供实际的解决方法或示例。

解答不清晰，无法理解或解决问题。

页面排版不美观，阅读体验差。

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