Udacity 企业教学大纲使用 Python 进行人工智能编程

THESCHOOLOFARTIFICIALINTELLIGENCE

AIProgrammingwithPython

NANODEGREESYLLABUS

2

THESCHOOLOFARTIFICIALINTELLIGENCE

Overview

AIProgrammingwithPython

ProgramInformation

TIME

3months

Study10hours/week

LEVEL

Foundational

PREREQUISITES

Basiccalculusknowledge,includinghowtocalculatederivatives.Basicalgebraandprogrammingknowledgewillshortenthetimetomastery.

HARDWARE/SOFTWAREREQUIRED

ComputerrunningOSXorWindows

INTERESTEDINTHISNANODEGREE?

ContactusatenterpriseNDs@udacity.com.

Inthisprogram,you’lllearnallthefoundationalskillsnecessarytostartusingAItechniquesanddevelopyourskillsinprogramming,linearalgebra,andneuralnetworks.Agraduateofthisprogramwillgainessentialknowledgeof:

ProgrammingtoolsPython,NumPy,PyTorch

Calculusandlinearalgebraapplications

Keytechniquesofneuralnetworks,includinggradientdescentandbackpropagation

Thisprogramiscomprisedoffourcoursesandfourprojects.Eachprojectpresentsanopportunitytodemonstratemasteryoflessoncontent.

LearnMoreat

WWW.UDACITY.COM/ENTERPRISE

AIPROGRAMMINGWITHPYTHON 3

OurClassroomExperience

REAL-WORLDPROJECTS

Buildyourskillsthroughindustry-relevantprojects.Getpersonalizedfeedbackfromournetworkof900+projectreviewers.Oursimpleinterfacemakesiteasytosubmityourprojectsasoftenasyouneedandreceiveunlimitedfeedbackonyourwork.

KNOWLEDGE

FindanswerstoyourquestionswithKnowledge,ourproprietarywiki.SearchquestionsaskedbyotherLearnersanddiscoverinreal-timehowtosolvethechallengesthatyouencounter.

LEARNERHUB

Leveragethepowerofcommunitythroughasimple,yetpowerfulchatinterfacebuiltwithintheclassroom.UseLearnerHubtoconnectwithyourtechnicalmentorandfellowLearnersinyourNanodegreeprogram.

WORKSPACES

Seeyourcodeinaction.Checktheoutputandqualityofyourcodebyrunningthemonworkspacesthatareapartofourclassroom.

QUIZZES

Checkyourunderstandingofconceptslearnedintheprogrambyansweringsimpleandauto-gradedquizzes.Easilygobacktothelessonstobrushuponconceptsanytimeyouansweraquestionincorrectly.

CUSTOMSTUDYPLANS

Workwithamentortocreateacustomstudyplantosuityourneeds.Usethisplantokeeptrackofyourprogresstowardyourgoal.

PROGRESSTRACKER

StayontracktocompleteyourNanodegreeprogramwithusefulmilestonereminders.

LearnwiththeBest

OrtalArel

CURRICULUMLEAD

OrtalArelholdsaPhDinComputerEngineering,andhasbeenaprofessorandresearcherinthefieldofappliedcryptography.Shehasworkedondesignandanalysisofintelligentalgorithmsforhigh-speedcustomdigitalarchitectures.

LuisSerrano

INSTRUCTOR

LuiswasformerlyaMachineLearningEngineeratGoogle.HeholdsaPhDinmathematicsfromtheUniversityofMichigan,and

aPostdoctoralFellowshipattheUniversityofQuebecatMontreal.

JuanDelgado

CONTENTDEVELOPER

JuanisacomputationalphysicistwithaMastersinAstronomy.HeisfinishinghisPhDinBiophysics.HepreviouslyworkedatNASAdevelopingspaceinstrumentsandwritingsoftwareto

analyzelargeamountsofscientificdatausingmachinelearningtechniques.

MatLeonard

INSTRUCTOR

Matisaformerphysicist,researchneuroscientist,anddatascientist.

HecompletedhisPhDandPostdoctoralFellowshipattheUniversityofCalifornia,Berkeley.

MikeYi

INSTRUCTOR

MikeisaContentDeveloperwithaBSinMathematicsandStatistics.HereceivedhisPhDinCognitiveScience

fromtheUniversityofIrvine.Previously,heworkedonUdacity’sDataAnalystNanodegreeprogramasasupportlead.

4 THESCHOOLOFARTIFICIALINTELLIGENCE

GrantSanderson

INSTRUCTOR

GrantSandersonisthecreatoroftheYouTubechannel3Blue1Brown,whichisdevotedtoteachingmathvisually,usingacustom-builtanimationtool.HewaspreviouslyacontentcreatorforKhanAcademy.

JenniferStaab

INSTRUCTOR

JenniferholdsaPhDinComputerScienceandaMaster’sinBiostatistics;shewasaprofessoratFloridaPolytechnicUniversity.ShepreviouslyworkedatRTIInternationalandUnitedTherapeuticsasastatisticianandcomputerscientist.

JunoLee

CONTENTDEVELOPER

AsadatascientistatLooplist,Junobuiltneuralnetworkstoanalyzeandcategorizeproductimages,

arecommendationsystemtopersonalizeshoppingexperiencesforeachuser,andtoolstogenerateinsightintouserbehavior.

AndrewPaster

INSTRUCTOR

AndrewhasanengineeringdegreefromYale,andhasusedhisdatascienceskillstobuildajewelrybusinessfromthegroundup.HehasadditionallycreatedcoursesforUdacity’sSelf-DrivingCarEngineerNanodegreeprogram.

LearnMoreat

WWW.UDACITY.COM/ENTERPRISE

AIPROGRAMMINGWITHPYTHON 5

PAGE

10

THESCHOOLOFARTIFICIALINTELLIGENCE

LearnMoreat

WWW.UDACITY.COM/ENTERPRISE

AIPROGRAMMINGWITHPYTHON

PAGE

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Course1:IntroductiontoPython

StartcodingwithPython,drawinguponlibrariesandautomationscriptstosolvecomplexproblemsquickly.

Project

UseaPre-trainedImageClassifiertoIdentifyDogBreeds

Inthisproject,youwillbetestingyournewly-acquiredPythoncodingskillsbyusingatrainedimageclassifier.Youwillneedtousethetrainedneuralnetworktoclassifyimagesofdogs(bybreeds)andcomparetheoutputwiththeknowndogbreedclassification.Youwillhaveachancetobuildyourownfunctions,usecommandlinearguments,testtheruntimeofthecode,createadictionaryoflists,andmore.

LESSONTITLE LEARNINGOUTCOME

WHYPYTHON?

DATATYPESANDOPERATORS

CONTROLFLOW

Learnwhyweprogram.

Prepareforthecourseaheadwithadetailedtopicoverview.

UnderstandhowprogramminginPythonisunique.

UnderstandhowdatatypesandoperatorsarethebuildingblocksforprogramminginPython.

Usethefollowingdatatypes:integers,floats,booleans,strings,lists,tuples,

sets,dictionaries.

Usethefollowingoperators:arithmetic,assignment,comparison,logical,membership,identity.

Implementdecision-makinginyourcodewithconditionals.

Repeatcodewithforandwhileloops.

Exitaloopwithbreak,andskipaniterationofaloopwithcontinue.

Usehelpfulbuilt-infunctionslikezipandenumerate.

Constructlistsinanaturalwaywithlistcomprehensions.

NanodegreeProgramOverview

FUNCTIONS

Writeyourownfunctionstoencapsulateaseriesofcommands.

Understandvariablescope,i.e.,whichpartsofaprogramvariablescanbereferencedfrom.

Makefunctionseasiertousewithproperdocumentation.

Uselambdaexpressions,iterators,andgenerators.

Course1:IntroductiontoPython,cont.

SCRIPTING

Writeandrunscriptslocallyonyourcomputer.

Workwithrawinputfromusers.

Readandwritefiles,handleerrors,andimportlocalscripts.

UsemodulesfromthePythonstandardlibraryandfromthird-partylibraries.

Useonlineresourcestohelpsolveproblems.

CLASSES

ObjectOrientedprogrammingprovidesafewbenefitsoverprocedural

programming.LearnthebasicsbyunderstandinghowtouseClasses.

Course2:Anaconda,JupyterNotebook,NumPy,Pandas,andMatplotlib

ANACONDA

LearnhowtouseallthekeytoolsforworkingwithdatainPython:JupyterNotebooks,NumPy,Anaconda,Pandas,andMatplotlib.

LESSONTITLE LEARNINGOUTCOME

LearnhowtouseAnacondatomanagepackagesandenvironmentsforusewithPython.

JUPYTERNOTEBOOKS

LearnhowtouseJupyterNotebookstocreatedocumentscombiningcode,text,images,andmore.

NUMPYBASICS

PANDASBASICS

LearnthevalueofNumPyandhowtouseittomanipulatedataforAIproblems.

Mini-Project:UseNumPytomeannormalizeandarrayandseparateitintoseveralsmallerndarrays.

LearntousePandastoloadandprocessdataformachinelearningproblems.

Mini-Project:UsePandastoplotandgetstatisticsfromstockdata.

MATPLOTLIBBASICS

LearnhowtouseMatplotlibtochooseappropriateplotsforoneandtwovariablesbasedonthetypesofdatayouhave.

Course3:LinearAlgebraEssentials

LearnthefoundationalmathyouneedforAIsuccess:vectors,lineartransformations,andmatrices—aswellasthelinearalgebrabehindneuralnetworks.

LESSONTITLE LEARNINGOUTCOME

INTRODUCTION

LearnthebasicsofthebeautifulworldofLinearAlgebraandwhyitissuchanimportantmathematicaltool.

VECTORS •LearnaboutthebasicbuildingblockofLinearAlgebra.

3dimensions.

LINEARCOMBINATION •Learnhowtoscaleandaddvectorsandhowtovisualizethemin2and

LINEARTRANSFORMATIONANDMATRICES

Learnwhatalineartransformationisandhowisitdirectlyrelatedtomatrices.Learnhowtoapplythemathandvisualizetheconcept.

LINEARALGEBRAINNEURALNETWORKS

LearnabouttheworldofNeuralNetworksandseehowitrelateddirectlytoLinearAlgebra.

NanodegreeProgramOverview

LABS

VectorsLab−Learnhowtograph2Dand3Dvectors.

LinearCombinationLab−Learnhowtocomputationallydeterminea

vector’sspanandsolveasimplesystemofequations.

LinearMappingLab−Learnhowtosolveproblemscomputationally

usingvectorsandmatrices.

Course4:CalculusEssentials

Learnthefoundationsofcalculustounderstandhowtotrainaneuralnetwork:plotting,derivatives,thechainrule,andmore.Seehowthesemathematicalskillsvisuallycometolifewithaneuralnetworkexample.

LESSONTITLE LEARNINGOUTCOME

INTRODUCTION

Visualizetheessenceofcalculus.Learnwhyitissuchapowerfulconceptinmathematics.

DERIVATESTHROUGHGEOMETRY

Learnaboutthederivative,oneofthemostimportanttoolsincalculus.

Seehowaderivativecanmeasurethesteepnessofafunctionandwhyitissuchanimportantindicatorintheworldofmachinelearning.

CHAINRULEANDDOTPRODUCT

Learnhowtofindthederivativeofacompositionoftwo

ormorefunctions,averyimportanttoolintraininganeuralnetwork.

MOREONDERIVATIVES

Learnmoreaboutderivativeswhilefocusingonexponentialandimplicitfunctions.

LIMITS

Learnabouttheformaldefinitionofaderivativethrough

understandinglimits.

INTEGRATION •Learnabouttheinverseofaderivative:theintegral.

CALCULUSINNEURALNETWORKS

Learnmoreabouttheworldofneuralnetworksandseehowitrelatesdirectlytocalculusthroughanexplicitexample.

Course5:NeuralNetworks

GainasolidfoundationinthelatesttrendsinAI:neuralnetworks,deeplearning,andPyTorch.

Project

CreateyourownImageClassifier

Successfulsoftwaredevelopersneedtoknowhowtoincorporatedeeplearningmodelsintoeverydayapplications.Anydevicewithacamerawillbeusingimageclassification,objectdetection,andfacerecognition,allbasedondeeplearningmodels.Inthisprojectyouwillimplementanimageclassificationapplication.Thisapplicationwilltrainadeeplearningmodelonadatasetofimages.Itwillthenusethetrainedmodeltoclassifynewimages.FirstyouwilldevelopyourcodeinaJupyternotebooktoensureyourtrainingimplementationworkswell.Then,youwillconvertyourcodeintoaPythonapplicationthatyouwillrunfromthecommandlineofyoursystem.

LESSONTITLE LEARNINGOUTCOME

INTRODUCTIONTONEURALNETWORKS

Acquireasolidfoundationindeeplearningandneuralnetworks.

ImplementgradientdescentandbackpropagationinPython.

TRAININGNEURAL

NETWORKS

Learnabouttechniquesforhowtoimprovetrainingofaneuralnetwork,suchas:earlystopping,regularizationanddropout..

NanodegreeProgramOverview

DEEPLEARNINGWITHPYTORCH

LearnhowtousePyTorchforbuildingdeeplearningmodels.

AllOurNanodegreeProgramsInclude:

IndustryValidation&Reviews

Learners’progressandsubjectknowledgeistestedandvalidatedbyindustryexpertsandleadersfromouradvisoryboard.Thesein-depthreviewsensureyourteamshaveachievedcompetency.

RealWorldHands-onProjects

Throughaseriesofrigorous,real-worldprojects,youremployeeslearnandapplynewtechniques,analyzeresults,andproduceactionableinsights.Projectportfoliosdemonstratelearners’growingproficiencyandsubjectmastery.

Pre-Assessments

Ourin-depthworkforceassessmentsidentifyyourteam’scurrentlevelofknowledgeinkeyareas.Resultsareusedtogeneratecustomlearningpathsdesignedtoequipyourworkforcewiththemostapplicableskillsets.

Dashboard&ProgressReports

Ourinteractivedashboard(enterprisemanagementconsole)allowsadministratorstomanageemployeeonboarding,trackcourseprogress,performbulkenrollmentsandmore.

OurReviewProcess

Vaibhav

UDACITYLEARNER

“IneverfeltoverwhelmedwhilepursuingtheNanodegreeprogramduetothevaluablesupportofthereviewers,andnowIammoreconfidentinconvertingmyideastoreality.”

nowat

CODINGVISIONSINFOTECH

Real-lifeReviewersforReal-lifeProjects

Real-worldprojectsareatthecoreofourNanodegreeprogramsbecausehands-onlearningisthebestwaytomasteranewskill.Receivingrelevantfeedbackfromanindustryexpertisacriticalpartofthatlearningprocess,andinfinitelymoreusefulthanthatfrompeersorautomatedgradingsystems.Udacityhasanetworkofover900experiencedprojectreviewerswhoprovidepersonalizedandtimelyfeedbacktohelpalllearners