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.