Deep-Learning-Coursera

我要开发同款
匿名用户2021年11月17日
41阅读
开发技术Python
所属分类人工智能、机器学习/深度学习
授权协议MIT License

作品详情

DeepLearningSpecialization

ProjectsfromtheDeepLearningSpecializationfromdeeplearning.aiofferedbyCoursera.

Instructor:AndrewNg

MasterDeepLearningandBreakIntoAI

IfyouwanttobreakintoAI,thisSpecializationwillhelpyoudoso.DeepLearningisoneofthemosthighlysoughtafterskillsintech.WewillhelpyoubecomegoodatDeepLearning.

Infivecourses,youwilllearnthefoundationsofDeepLearning,understandhowtobuildneuralnetworks,andlearnhowtoleadsuccessfulmachinelearningprojects.YouwilllearnaboutConvolutionalnetworks,RNNs,LSTM,Adam,Dropout,BatchNorm,Xavier/Heinitialization,andmore.Youwillworkoncasestudiesfromhealthcare,autonomousdriving,signlanguagereading,musicgeneration,andnaturallanguageprocessing.Youwillmasternotonlythetheory,butalsoseehowitisappliedinindustry.YouwillpracticealltheseideasinPythonandinTensorFlow,whichwewillteach.

YouwillalsohearfrommanytopleadersinDeepLearning,whowillsharewithyoutheirpersonalstoriesandgiveyoucareeradvice.

AIistransformingmultipleindustries.Afterfinishingthisspecialization,youwilllikelyfindcreativewaystoapplyittoyourwork.

ProgrammingAssignements

Course1:NeuralNetworksandDeepLearning

Week2-PA1-LogisticRegresssionasaNeuralNetworkWeek2-PA2-PythonBasicswithNumpyWeek3-PA1-PlanardataclassificationwithonehiddenlayerWeek4-PA1-BuildingyourDeepNeuralNetworkStepbyStepWeek4-PA2-DeepNeuralNetworkApplication_ImageClassification

Course2:ImprovingNeuralNetworks

Week1-PA1-GradientChecckingWeek1-PA2-RegularisationWeek1-PA3-InitializationWeek2-PA1-OptimizationMethodsWeek3-PA1-TensorflowTutorial

Course4:ConvolutionalNeuralNetworks

Week1-PA1-ConvolutionalModelWeek2-PA1-KerasTutorialWeek2-PA2-ResNetsWeek3-PA1-CarDetectionforAutonomousDrivingWeek4-PA1-FaceRecognitionWeek4-PA2-NeuralStyleTransfer

Course5:SequenceModels

Week1-PA1-BuildingaRNNstepbystepWeek1-PA2-DinosaurIslandWeek1-PA3-JazzImrpovisationwithLSTMWeek2-PA1-EmojifyWeek2-PA2-WordVectorRepresentationWeek3-PA1-MachineTranslationWeek3-PA2-TriggerWordDetectionPrerequisites

TheCodeiswritteninPython3.6.5.Ifyoudon'thavePythoninstalledyoucanfindithere.IfyouareusingalowerversionofPythonyoucanupgradeusingthepippackage,ensuringyouhavethelatestversionofpip.

ToinstallpipruninthecommandLine

python-mensurepip--default-pip

toupgradeit

python-mpipinstall--upgradepipsetuptoolswheel

toupgradePython

pipinstallpython--upgrade

YouwillalsoneedtoinstalladditionalpackagesdependingtheCourseyouarefollowingandtherelevantassignement.SeperateReadMeswillguideyouforeachindividualcourse

ViewingtheJupyterNotebook

InordertobetterviewandworkonthejupyterNotebookIencourageyoutousenbviewer.Youcansimplycopyandpastethelinktothiswebsiteandyouwillbeabletoedititwithoutanyproblem.Alternativelyyoucanclonetherepositoryusing

gitclonehttps://github.com/fotisk07/Deep-Learning/

theninthecommandLinetype,afteryouhavedownloadedjupyternotebooktype

jyputernotebook

locatethenotebookandrunit.

Disclaimer

PleaseusethisrepositoryONLYasreferenceorforhelpanddonothardcopyandpastetheassignements.

Contributing

PleasereadCONTRIBUTING.mdfortheprocessforsubmittingpullrequests.

AuthorsFotiosKapotos-Initialwork

ThisprojectislicensedundertheMITLicense-seetheLICENSE.mdfilefordetails

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