PyTorchisgainingtheattentionofdeeplearningresearchersanddatascienceprofessionalsduetoitsaccessibilityandefficiency,alongwiththefactthatit'smorenativetothePythonwayofdevelopment.Thisbookwillgetyouupandrunningwiththiscutting-edgedeeplearninglibrary,effectivelyguidingyouthroughimplementingdeeplearningconcepts.Inthissecondedition,you'lllearnthefundamentalaspectsthatpowermoderndeeplearning,andexplorethenewfeaturesofthePyTorch1.xlibrary.You'llunderstandhowtosolvereal-worldproblemsusingCNNs,RNNs,andLSTMs,alongwithdiscoveringstate-of-the-artmoderndeeplearningarchitectures,suchasResNet,DenseNet,andInception.You'llthenfocusonapplyingneuralnetworkstodomainssuchascomputervisionandNLP.Laterchapterswilldemonstratehowtobuild,train,andscaleamodelwithPyTorchandalsocovercomplexneuralnetworkssuchasGANsandautoencodersforproducingtextandimages.Inadditiontothis,you'llexploreGPUcomputingandhowitcanbeusedtoperformheavycomputations.Finally,you'lllearnhowtoworkwithdeeplearning-basedarchitecturesfortransferlearningandreinforcementlearningproblems.Bytheendofthisbook,you'llbeabletoconfidentlyandeasilyimplementdeeplearningapplicationsinPyTorch.