Apache Spark Deep Learning Cookbook

Withdeeplearninggainingrapidmainstreamadoptioninmodern-dayindustries,organizationsarelookingforwaystounitepopularbigdatatoolswithhighlyefficientdeeplearninglibraries.Asaresult,thiswillhelpdeeplearningmodelstrainwithhigherefficiencyandspeed.WiththehelpoftheApacheSparkDeepLearningCookbook,you’llworkthroughspecificrecipestogenerateoutcomesfordeeplearningalgorithms,withoutgettingboggeddownintheory.FromsettingupApacheSparkfordeeplearningtoimplementingtypesofneuralnet,thisbooktacklesbothcommonandnotsocommonproblemstoperformdeeplearningonadistributedenvironment.Inadditiontothis,you’llgetaccesstodeeplearningcodewithinSparkthatcanbereusedtoanswersimilarproblemsortweakedtoanswerslightlydifferentproblems.YouwillalsolearnhowtostreamandclusteryourdatawithSpark.Onceyouhavegottogripswiththebasics,you’llexplorehowtoimplementanddeploydeeplearningmodels,suchasConvolutionalNeuralNetworks(CNN)andRecurrentNeuralNetworks(RNN)inSpark,usingpopularlibrariessuchasTensorFlowandKeras.Bytheendofthebook,you'llhavetheexpertisetotrainanddeployefficientdeeplearningmodelsonApacheSpark.