One-shotlearninghasbeenanactivefieldofresearchforscientiststryingtodevelopacognitivemachinethatmimicshumanlearning.Withthisbook,you'llexplorekeyapproachestoone-shotlearning,suchasmetrics-based,model-based,andoptimization-basedtechniques,allwiththehelpofpracticalexamples.Hands-OnOne-shotLearningwithPythonwillguideyouthroughtheexplorationanddesignofdeeplearningmodelsthatcanobtaininformationaboutanobjectfromoneorjustafewtrainingsamples.Thebookbeginswithanoverviewofdeeplearningandone-shotlearningandthenintroducesyoutothedifferentmethodsyoucanusetoachieveit,suchasdeeplearningarchitecturesandprobabilisticmodels.Onceyou'vegottogripswiththecoreprinciples,you'llexplorereal-worldexamplesandimplementationsofone-shotlearningusingPyTorch1.xondatasetssuchasOmniglotandMiniImageNet.Finally,you'llexploregenerativemodeling-basedmethodsanddiscoverthekeyconsiderationsforbuildingsystemsthatexhibithuman-levelintelligence.Bytheendofthisbook,you'llbewell-versedwiththedifferentone-andfew-shotlearningmethodsandbeabletousethemtobuildyourowndeeplearningmodels.