ArtificialIntelligence(AI)continuestogrowinpopularityanddisruptawiderangeofdomains,butitisacomplexanddauntingtopic.Inthisbook,you'llgettogripswithbuildingdeeplearningapps,andhowyoucanusePyTorchforresearchandsolvingreal-worldproblems.Thisbookusesarecipe-basedapproach,startingwiththebasicsoftensormanipulation,beforecoveringConvolutionalNeuralNetworks(CNNs)andRecurrentNeuralNetworks(RNNs)inPyTorch.Onceyouarewell-versedwiththesebasicnetworks,you'llbuildamedicalimageclassifierusingdeeplearning.Next,you'lluseTensorBoardforvisualizations.You'llalsodelveintoGenerativeAdversarialNetworks(GANs)andDeepReinforcementLearning(DRL)beforefinallydeployingyourmodelstoproductionatscale.You'lldiscoversolutionstocommonproblemsfacedinmachinelearning,deeplearning,andreinforcementlearning.You'lllearntoimplementAItasksandtacklereal-worldproblemsincomputervision,naturallanguageprocessing(NLP),andotherreal-worlddomains.Bytheendofthisbook,you'llhavethefoundationsofthemostimportantandwidelyusedtechniquesinAIusingthePyTorchframework.