duda vs weebly

;Teacher. Momentum = 0;int iteration = 1;Iterative Training 500 TimesWhile (Iteration {Teacher. Runepoch (Traininput, trainoutput);++iteration;}Using the trained neural network to classify, T is the input data vectorNetwork.compute (t) [0]The iris data is classified by the program, and the recognition rate can reach about 97%.Click to download source codeArticle from: http://www.cnblogs.com/heaad/Reprint please keep the source, thx!Reference Documents [1] Andrew Kirillov. Neural Networks on C #.

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. Overview of Hough TransformHough Transform (Hough Transform) is a feature extraction technique in image processing, in which a set of matching shapes is obtained by calculating the local maximum value of the accumulated results in a parameter space as the result of Hough transform. The Hough transform was first proposed by Paulhough in 1962 and the original Hough transformation was designed to detect lines and curves , and the initial method required to know the analytic equation of the bounda

such as Hangyuan Li, Xiangliang, Wang Haifeng, tie and Kaiyu have lectured at the conference. This book speaks of a lot of machine learning at the forefront of specific applications, need to have a basic ability to understand. If you want to learn about machine learning trends, you can browse the book. Academic conferences in the area of interest are the way to discover research trends. "Managing Gigabytes" (Deep search engine) PDFA good book for information retrieval. "Modern Information R

doesn't matter if you have a general understanding of machine learning. According to the above, Baidu posted some blogs, which may be more suitable for you. Or you can find some papers. I would like to recommend a few entry points here.In fact, I think that when you search for machine learning in Amazon, I should have read all the books on the first page, most of the books on the second page, and the third page, too ..... You can also do this...Once written in this regard book: http://blog.renr

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, an effective algorithm is used to form a hypothetical algorithm, such as Hough Transform (Hough 1962; Duda and Hart 1972), Interpretation Tree Search (interpretation) (Grimson and Lozano-prez 1987), geometric hashing (Lamdan and Wolfson 1988), algorithm The validity of the solution is derived from the fast hashing (fast elimination) method, which is not feasible, or by using heuristics to trim the solution space. In this way, a small number of candi

2012-4-17 DBN Online Information 2 (reprint)(2012-04-17 09:37:24)reproduced Category: DBN (deeplearning) "original link: http://demonstrate.ycool.com/post.3006074.html"in order to better in the next discussion class to tell DBN, special open this post. is mainlyIntroduce DBN knowledge and make a logically complete thing. Refer to Hinton's stuff:Reading LISTRBM related [1] about Boltzmann machine Scholarwiki[2] Haykin book 11th Chapter [3]