【2.1课件】_binary-classification_Binary_Classification.pdf

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1、BinaryClassificationInabinaryclassificationproblem,theresultisadiscretevalueoutput.Forexample-accounthacked(1)orcompromised(0)-atumormalign(1)orbenign(0)Example:CatvsNon-CatThegoalistotrainaclassifierthattheinputisanimagerepresentedbyafeaturevector,?,andpred

2、ictswhetherthecorrespondinglabel?is1or0.Inthiscase,whetherthisisacatimage(1)oranon-catimage(0).6464AnimageisstoreinthecomputerinthreeseparatematricescorrespondingtotheRed,Green,andBluecolorchannelsoftheimage.Thethreematriceshavethesamesizeastheimage,forexamp

3、le,theresolutionofthecatimageis64pixelsX64pixels,thethreematrices(RGB)are64X64each.Thevalueinacellrepresentsthepixelintensitywhichwillbeusedtocreateafeaturevectorofn-dimension.Inpatternrecognitionandmachinelearning,afeaturevectorrepresentsanobject,inthiscase

4、,acatornocat.Tocreateafeaturevector,?,thepixelintensityvalueswillbe“unroll”or“reshape”foreachcolor.Thedimensionoftheinputfeaturevector?is??=64?64?3=12288.redgreenblue