ApplyingdeeplearningapproachestovariousNLPtaskscantakeyourcomputationalalgorithmstoacompletelynewlevelintermsofspeedandaccuracy.DeepLearningforNaturalLanguageProcessingstartsoffbyhighlightingthebasicbuildingblocksofthenaturallanguageprocessingdomain.Thebookgoesontointroducetheproblemsthatyoucansolveusingstate-of-the-artneuralnetworkmodels.Afterthis,delvingintothevariousneuralnetworkarchitecturesandtheirspecificareasofapplicationwillhelpyoutounderstandhowtoselectthebestmodeltosuityourneeds.Asyouadvancethroughthisdeeplearningbook,you’llstudyconvolutional,recurrent,andrecursiveneuralnetworks,inadditiontocoveringlongshort-termmemorynetworks(LSTM).UnderstandingthesenetworkswillhelpyoutoimplementtheirmodelsusingKeras.Inthelaterchapters,youwillbeabletodevelopatriggerworddetectionapplicationusingNLPtechniquessuchasattentionmodelandbeamsearch.Bytheendofthisbook,youwillnotonlyhavesoundknowledgeofnaturallanguageprocessingbutalsobeabletoselectthebesttextpre-processingandneuralnetworkmodelstosolveanumberofNLPissues.