Computervisiontechniquesplayanintegralroleinhelpingdevelopersgainahigh-levelunderstandingofdigitalimagesandvideos.Withthisbook,you’lllearnhowtosolvethetrickiestproblemsincomputervision(CV)usingthepowerofdeeplearningalgorithms,andleveragethelatestfeaturesofPyTorch1.xtoperformavarietyofCVtasks.StartingwithaquickoverviewofthePyTorchlibraryandkeydeeplearningconcepts,thebookthencoverscommonandnot-so-commonchallengesfacedwhileperformingimagerecognition,imagesegmentation,objectdetection,imagegeneration,andothertasks.Next,you’llunderstandhowtoimplementthesetasksusingvariousdeeplearningarchitecturessuchasconvolutionalneuralnetworks(CNNs),recurrentneuralnetworks(RNNs),longshort-termmemory(LSTM),andgenerativeadversarialnetworks(GANs).Usingaproblem-solutionapproach,you’lllearnhowtosolveanyissueyoumightfacewhilefine-tuningtheperformanceofamodelorintegratingitintoyourapplication.Later,you’llgettogripswithscalingyourmodeltohandlelargerworkloads,andimplementingbestpracticesfortrainingmodelsefficiently.BytheendofthisCVbook,you’llbeproficientinconfidentlysolvingmanyCVrelatedproblemsusingdeeplearningandPyTorch.