华南农业大学《机器视觉》期末考试试卷

实现粒子群算法的matlab代码，包含3个文件，主要是用一个实例加以说明

车牌识别的字符识别，可以通过上面的文件中训练样本来进行。
里面含有字母，数字，和汉字，都已近包含。

ArtificialIntelligenceAModernApproach,3rdEditionArtificialIntelligenceAModernApproach,3rdEdition

使用百度AI接口用java实现的人脸图像比对功能示例,jdk请用1.8以上版本

中文语料的停用词txt文档，取自复旦大学中文语料库，文件很小

这是数据分析与挖掘实战第五章的代码和数据，需要的同学可以下载查看一下，如果需要电子书籍的可以购买后下方评论留言，会发到邮箱

%minFuncfprintf('CompilingminFuncfiles...\n');mexminFunc/lbfgsC.c%KPMfprintf('CompilingKPMfiles...\n');mex-IKPMKPM/repmatC.c%crfChainfprintf('CompilingcrfChainfiles...\n');mexcrfChain/mex/crfChain_makePotentialsC.cmexcrfChain/mex/crfChain_inferC.cmexcrfChain/mex/crfChain_lossC2.c

车牌资源

Throughaseriesofrecentbreakthroughs,deeplearninghasboostedtheentirefieldofmachinelearning.Now,evenprogrammerswhoknowclosetonothingaboutthistechnologycanusesimple,efficienttoolstoimplementprogramscapableoflearningfromdata.Thispracticalbookshowsyouhow.Byusingconcreteexamples,minimaltheory,andtwoproduction-readyPythonframeworks—Scikit-LearnandTensorFlow—authorAurélienGéronhelpsyougainanintuitiveunderstandingoftheconceptsandtoolsforbuildingintelligentsystems.You’lllearnarangeoftechniques,startingwithsimplelinearregressionandprogressingtodeepneuralnetworks.Withexercisesineachchaptertohelpyouapplywhatyou’velearned,allyouneedisprogrammingexperiencetogetstarted.*Explorethemachinelearninglandscape,particularlyneuralnets*UseScikit-Learntotrackanexamplemachine-learningprojectend-to-end*Exploreseveraltrainingmodels,includingsupportvectormachines,decisiontrees,randomforests,andensemblemethods*UsetheTensorFlowlibrarytobuildandtrainneuralnets*Diveintoneuralnetarchitectures,includingconvolutionalnets,recurrentnets,anddeepreinforcementlearning*Learntechniquesfortrainingandscalingdeepneuralnets