教程-Deep Learning Projects with JavaScript
.MP4,AVC,200kbps,1920x1080|AAC,160kbps,2Ch|2h13m| 
Genre:eLearning|Language:English

Learnhowtodotextsentimentanalysisanddetectemotionsinpeople'sportraitsandtheirvoicesusingTensorFlow.js

GettingstartedwithDeepLearningseemsoverwhelmingwithsomanyoptionstochoosefrom,soyoumightbewonderingwheretostart,whichtoolstochoose,andhowtoactuallysetthemup?Thegoodnewsisthatyoualreadyhavethekeytoolinfrontofyou:yourwebbrowserwithapowerfulJavaScriptengineinsideit.AndwhenyouaddtheTensorFlow.jslibrarytothiscombo,youcanuseDeepLearningmethodsviaJavaScriptinnotime.

Inthiscourse,youwillthroughtheprocessofgettingstartedwithTensorFlow.jstodetectemotionswithalotofdifferenttypesofdata.Youwillstartbylearninghowtobuildadeeplearningtooltojudgewhetherapieceoftextispositiveornegative.Sinceyouwillwanttangibleresultsquickly,youwilluseapre-trainedmodeltodothatandincludeitintoyourownwebapplication.Youwillmoveontolearnhowtodetecthumanemotionsbasedonlyonpicturesandvoicesusingpre-trainedmodelsaswell.Towardstheend,youwilllearnhowtomodifyapre-trainedmodeltotraintheemotionaldetectorfromscratchusingyourowndata.

BytheendofthiscourseyouwillknowhowtouseDeepLearningmodelsandtrainyourownmodelsfromthegroundupusingJavaScriptandtheTensorFlow.jslibrary.

WhatYouWillLearn

GetstartedwithDeepLearningquickly,withoutinstallinganything
UseDeepLearningmethodsinpracticeonrealisticdatasets
Getresultsfastusingpre-trainedmodels
Improveyourresultsusingtransferlearning
Learnwhenit'sagoodideatotrainyourownmodelfromscratchandwhatdoyouneedtoknowtodothatcorrectly