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首页Natural Language Processing with PyTorch 1st Edition (2019)
This book aims to bring newcomers to natural language processing (NLP) and deep learning to a tasting table covering important topics in both areas. Both of these subject areas are growing exponentially. As it introduces both deep learning and NLP with an emphasis on implementation, this book occupies an important middle ground.
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NaturalLanguageProcessing
withPyTorch
BuildIntelligentLanguageApplicationsUsingDeep
Learning
DelipRaoandBrianMcMahan

NaturalLanguageProcessingwithPyTorch
byDelipRaoandBrianMcMahanCopyright©2019DelipRaoandBrian
McMahan.Allrightsreserved.
PrintedintheUnitedStatesofAmerica.
PublishedbyO’ReillyMedia,Inc.,1005GravensteinHighwayNorth,
Sebastopol,CA95472.
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February2019:FirstEdition
RevisionHistoryfortheFirstEdition
2019-01-16:FirstRelease
Seehttp://oreilly.com/catalog/errata.csp?isbn=9781491978238forrelease
details.
TheO’ReillylogoisaregisteredtrademarkofO’ReillyMedia,Inc.Natural
LanguageProcessingwithPyTorch,thecoverimage,andrelatedtradedressare
trademarksofO’ReillyMedia,Inc.
Theviewsexpressedinthisworkarethoseoftheauthors,anddonotrepresent
thepublisher’sviews.Whilethepublisherandtheauthorshaveusedgoodfaith
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accurate,thepublisherandtheauthorsdisclaimallresponsibilityforerrorsor

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fromtheuseoforrelianceonthiswork.Useoftheinformationandinstructions
containedinthisworkisatyourownrisk.Ifanycodesamplesorother
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yourusethereofcomplieswithsuchlicensesand/orrights.
978-1-491-97823-8
[LSI]

Preface
Thisbookaimstobringnewcomerstonaturallanguageprocessing(NLP)and
deeplearningtoatastingtablecoveringimportanttopicsinbothareas.Bothof
thesesubjectareasaregrowingexponentially.Asitintroducesbothdeep
learningandNLPwithanemphasisonimplementation,thisbookoccupiesan
importantmiddleground.Whilewritingthebook,wehadtomakedifficult,and
sometimesuncomfortable,choicesonwhatmaterialtoleaveout.Forabeginner
reader,wehopethebookwillprovideastrongfoundationinthebasicsanda
glimpseofwhatispossible.Machinelearning,anddeeplearninginparticular,is
anexperientialdiscipline,asopposedtoanintellectualscience.Thegenerous
end-to-endcodeexamplesineachchapterinviteyoutopartakeinthat
experience.
Whenwebeganworkingonthebook,westartedwithPyTorch0.2.The
exampleswererevisedwitheachPyTorchupdatefrom0.2to0.4.PyTorch1.0is
duetoreleasearoundwhenthisbookcomesout.Thecodeexamplesinthebook
arePyTorch0.4–compliantandshouldworkastheyarewiththeupcoming
PyTorch1.0release.
Anoteregardingthestyleofthebook.Wehaveintentionallyavoided
mathematicsinmostplaces,notbecausedeeplearningmathisparticularly
difficult(itisnot),butbecauseitisadistractioninmanysituationsfromthe
maingoalofthisbook—toempowerthebeginnerlearner.Likewise,inmany
cases,bothincodeandtext,wehavefavoredexpositionoversuccinctness.
Advancedreadersandexperiencedprogrammerswilllikelyseewaystotighten
upthecodeandsoon,butourchoicewastobeasexplicitaspossiblesoasto
reachthebroadestoftheaudiencethatwewanttoreach.
ConventionsUsedinThisBook
Thefollowingtypographicalconventionsareusedinthisbook:
Italic
1
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