Applied Deep Learning with Python
TakinganapproachthatusesthelatestdevelopmentsinthePythonecosystem,you’llfirstbeguidedthroughtheJupyterecosystem,keyvisualizationlibrariesandpowerfuldatasanitizationtechniquesbeforewetrainourfirstpredictivemodel.We’llexploreavarietyofapproachestoclassificationlikesupportvectornetworks,randomdecisionforestsandk-nearestneighbourstobuildoutyourunderstandingbeforewemoveintomorecomplexterritory.It’sokayifthesetermsseemoverwhelming;we’llshowyouhowtoputthemtowork.We’llbuilduponourclassificationcoveragebytakingaquicklookatethicalwebscrapingandinteractivevisualizationstohelpyouprofessionallygatherandpresentyouranalysis.It’safterthisthatwestartbuildingoutourkeystonedeeplearningapplication,onethataimstopredictthefuturepriceofBitcoinbasedonhistoricalpublicdata.Byguidingyouthroughatrainedneuralnetwork,we’llexplorecommondeeplearningnetworkarchitectures(convolutional,recurrent,generativeadversarial)andbranchoutintodeepreinforcementlearningbeforewediveintomodeloptimizationandevaluation.We’lldoallofthiswhilstworkingonaproduction-readywebapplicationthatcombinesTensorflowandKerastoproduceameaningfuluser-friendlyresult,leavingyouwithalltheskillsyouneedtotackleanddevelopyourownreal-worlddeeplearningprojectsconfidentlyandeffectively.
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