Neural Networks and Deep Learning Deep Learning explained to your granny - CSDN文库

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Introduction



“AsinisterthreatisbrewingdeepinsidethetechnologylaboratoriesofSilicon

Valley.ArtificialIntelligence,disguisedashelpfuldigitalassistantsandself-

drivingvehicles,isgainingafoothold--anditcouldonedayspelltheendfor

mankind”.

ELLIEZOLFAGHARIFARD,MailOnline

YoucertainlyhavenoticedthatMachineLearningandArtificialIntelligenceare

seemingly the biggest technological hype waves of the moment. World giant

players,suchasApple,Amazon,IBM,GoogleandFacebook,heavilyinvestin

machinelearningresearchandapplicationsforgoodreasons.However,whatis

thishypeallabout?

MachineLearningapplicationsarealreadyverynumeroustoday,andsomehave

entered our daily lives without us actually realizing it. For example, think of

searchengines:whenyouinsertoneormorekeyword,asearchenginereturnsa

listof result,calledSERP(Search Engine Results Pages) that are the effectof

MachineLearningalgorithmsusingunsupervisedlearning(providingasoutput

informationdeemedrelevantfortheresearchcarriedout,basedontheanalysis

ofschemas,models,andstructuresindata).

Another common example is email spam filters based on Machine Learning

systems that learn continuously to either intercept suspicious or fraudulent e-

mail messages and act accordingly (such as deleting them before they are

deployed on the user’s personal mailbox). Systems of this type, even with

greatersophistication,areusedinthefinancialsectorforthepreventionoffraud

(suchascreditcardcloning)andthetheftofidentitydata.

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