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页数:100页
时间:2019-02-28
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1、DeepLearningmoreathttp://ml.memect.comContents1Artificialneuralnetwork11.1Background..............................................11.2History.................................................21.2.1Improvementssince2006...................................21.3Models..............................
2、...................31.3.1Networkfunction.......................................31.3.2Learning...........................................41.3.3Learningparadigms......................................41.3.4Learningalgorithms......................................51.4Employingartificialneuralnetw
3、orks.................................51.5Applications..............................................61.5.1Real-lifeapplications.....................................61.5.2Neuralnetworksandneuroscience..............................61.6Neuralnetworksoftware......................................
4、.61.7Typesofartificialneuralnetworks...................................71.8Theoreticalproperties.........................................71.8.1Computationalpower.....................................71.8.2Capacity............................................71.8.3Convergence...................
5、......................71.8.4Generalizationandstatistics..................................71.9Controversies.............................................81.9.1Trainingissues........................................81.9.2Hardwareissues........................................81.9.3Practicalcount
6、erexamplestocriticisms............................81.9.4Hybridapproaches......................................81.10Gallery.................................................91.11Seealso................................................91.12References.............................................
7、..91.13Bibliography..............................................111.14Externallinks.............................................122Deeplearning132.1Introduction..............................................13iiiCONTENTS2.1.1Definitions...................
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