Transcription of Introduction to Deep Learning - Stanford University
1 Copyright NoticeThese slides are distributed under the Creative Commons these slides available for educational purposes. You may not use or distribute these slides for commercial purposes. You may make copies of these slides and use or distribute them for educational purposes as long as you the source of the the rest of the details of the license, see AI is the newElectricity Electricity had oncetransformedcountless industries:transportation, manufacturing, healthcare, communications, andmore AI will now bring about anequally you lllearnCourses in this sequence(Specialization) Networks and deep Neural Networks:Hyperparameter tuning, Regularization your Machine LanguageProcessing.
2 Building sequence modelsAndrewNgIntroductionto DeepLearningWhat is a NeuralNetwork? PricePredictionsize ofhousepriceHousing PricePrediction#bedroomssizeHousing PricePrediction!"!#zipcode!$wealth!%yInt roductionto DeepLearningSupervised Learning with (y)ApplicationInput(x)PriceClick on ad? (0/1) Object(1,..,1000) Text transcript ChinesePosition of othercarsRealEstateOnline Advertising Photo tagging Speech recognition Machinetranslation AutonomousdrivingHomefeaturesAd, userinfo ImageAudio EnglishImage, RadarinfoNeural NetworkexamplesStandardNNRecurrentNNConv olutionalNNSize# (1000$s) scores andseven to NeuralNetworksWhy is deep Learning takingoff?
3 Drives deep learningprogressAmount ofdataPerformanceAndrewNg Data Computation AlgorithmsIdeaExperimentCodeScale drives deep learningprogressAndrewNgAndrewNgIntroduc tion to NeuralNetworksAbout in Networks and deep Neural Networks:Hyperparameter tuning, Regularization your Machine Language Processing: Building sequencemodelsAndrewNgAndrewNgOutline of thisCourseWeek 1:IntroductionWeek 2: Basics of Neural Networkprogramming Week 3: One hidden layer Neural Networks Week 4: deep NeuralNetworks
