Wanttogettogripswithoneofthemostpopularmachinelearninglibrariesfordeeplearning?TheDeepLearningwithPyTorchWorkshopwillhelpyoudojustthat,jumpstartingyourknowledgeofusingPyTorchfordeeplearningevenifyou’restartingfromscratch.It'snosurprisethatdeeplearning'spopularityhasrisensteeplyinthepastfewyears,thankstointelligentapplicationssuchasself-drivingvehicles,chatbots,andvoice-activatedassistantsthataremakingourliveseasier.Thisbookwilltakeyouinsidetheworldofdeeplearning,whereyou'llusePyTorchtounderstandthecomplexityofneuralnetworkarchitectures.TheDeepLearningwithPyTorchWorkshopstartswithanintroductiontodeeplearninganditsapplications.You'llexplorethesyntaxofPyTorchandlearnhowtodefineanetworkarchitectureandtrainamodel.Next,you'lllearnaboutthreemainneuralnetworkarchitectures-convolutional,artificial,andrecurrent-andevensolvereal-worlddataproblemsusingthesenetworks.Laterchapterswillshowyouhowtocreateastyletransfermodeltodevelopanewimagefromtwoimages,beforefinallytakingyouthroughhowRNNsstorememorytosolvekeydataissues.Bytheendofthisbook,you'llhavemasteredtheessentialconcepts,tools,andlibrariesofPyTorchtodevelopyourowndeepneuralnetworksandintelligentapps.