PDC4S:\IT\DATA SCIENCE AND MACHINE LEARNING\[Guvi.in] Deep Learning Course\DL#106 - Optimization Algorithms

Up one directory...
NameSizeDate Modified
PDFs12/22/2021 10:32 PM
01+AdaGrad.ts55,969 KB12/12/2021 3:34 AM
01+Intro+ActivationFunctions.ts38,652 KB12/12/2021 3:34 AM
01+OutlineBasics.ts35,474 KB12/12/2021 3:34 AM
01_outline.ts4,640 KB12/12/2021 3:34 AM
02+ActivationFunctions.ts42,969 KB12/12/2021 3:34 AM
02+RegularisationInFFClass.ts61,711 KB12/12/2021 3:34 AM
02+RMSProp.ts27,093 KB12/12/2021 3:34 AM
02_snmodifiedclass.ts42,973 KB12/12/2021 3:34 AM
03+Adam.ts31,898 KB12/12/2021 3:34 AM
03+BiasOnIncreasingModelComplexity.ts39,967 KB12/12/2021 3:34 AM
03+PlottingSetup.ts46,156 KB12/12/2021 3:34 AM
0330+01+QuickHistoryOfDeepLearning.ts27,664 KB12/12/2021 3:34 AM
0330+02+HighlightingALimitation.ts15,702 KB12/12/2021 3:34 AM
0330+03+ADeeperLookIntoTheLimitationOfGD.ts29,387 KB12/12/2021 3:34 AM
0330+04+IntroducingContourMaps.ts16,965 KB12/12/2021 3:34 AM
0330+06+VisualizingGDOna2DContourMap.ts22,719 KB12/12/2021 3:34 AM
0330+07+IntuitionForMomentumBasedGradientDescent.ts18,582 KB12/12/2021 3:34 AM
0330+08+DissectingTheUpdateRuleForMomentumBasedGradientDescent.ts21,886 KB12/12/2021 3:34 AM
0330+09+RunningAndVisualizingMomentumBasedGradientDescent.ts23,184 KB12/12/2021 3:34 AM
0330+10+ADisadvantageOfMomentumBasedGradientDescent.ts33,506 KB12/12/2021 3:34 AM
0330+11+IntuitionBehindNesterovAcceleratedGradientDescent.ts35,853 KB12/12/2021 3:34 AM
0330+12+RunningAndVisualizingNesterovAcceleratedGradientDescent.ts22,880 KB12/12/2021 3:34 AM
0330_05_exercises_guessthe3dsurface.ts36,292 KB12/12/2021 3:34 AM
0330_13_summaryandwhatnext.ts5,242 KB12/12/2021 3:34 AM
03_setupforplotting.ts58,952 KB12/12/2021 3:34 AM
04+L2Regularisation.ts50,272 KB12/12/2021 3:34 AM
04+Sigmoid.ts47,177 KB12/12/2021 3:34 AM
04+VectorisedClassRecap.ts33,221 KB12/12/2021 3:34 AM
0401+08+RunningAndVisualizingRMSProp.ts19,695 KB12/12/2021 3:34 AM
0401+09+RunningAndVisualizingAdam.ts19,117 KB12/12/2021 3:34 AM
0401+10+Summary.ts8,431 KB12/12/2021 3:34 AM
0401-01+TheIdeaOfStocahsticAndMiniBatchGD.ts22,081 KB12/12/2021 3:34 AM
0408+01+SettingTheContext.ts21,859 KB12/12/2021 3:34 AM
0408+02+SaturationInLogisticNeurons.ts23,289 KB12/12/2021 3:34 AM
0408+03+LogisticFunctionIsNotZeroCentered.ts42,124 KB12/12/2021 3:34 AM
0408+04+TanhAndReLuActivationFunctions.ts39,595 KB12/12/2021 3:34 AM
0408+04a+TanhAndReLuActivationFunctions.ts20,069 KB12/12/2021 3:34 AM
0408+05+SymmetryBreakingProblem.ts21,665 KB12/12/2021 3:34 AM
0408+06+XavierAndHeInitialization.ts29,901 KB12/12/2021 3:34 AM
0408+07+SummaryAndWhatNext.ts11,398 KB12/12/2021 3:34 AM
0415+01+SimpleVSComplexModels.ts25,772 KB12/12/2021 3:34 AM
0415+02+AnalysingThe+BehaviorOfSimpleAndComplexModels.ts18,670 KB12/12/2021 3:34 AM
0415+03+BiasAndVariance.ts37,420 KB12/12/2021 3:34 AM
0415+04+TestErrorDueToBiasAndVariance.ts28,626 KB12/12/2021 3:34 AM
0415+05+OverfittingInDeepNeuralNetworks.ts36,640 KB12/12/2021 3:34 AM
0415+06+ADetourIntoHyperparameterTuning.ts26,022 KB12/12/2021 3:34 AM
0415+07+L2Regularization.ts34,275 KB12/12/2021 3:34 AM
0415+08+DatasetAugmentationAndEarlyStopping.ts14,476 KB12/12/2021 3:34 AM
0415+09+SummaryAndWhatNext.ts6,730 KB12/12/2021 3:34 AM
04_gdalgorithm.ts48,899 KB12/12/2021 3:34 AM
05+AddingNoiseToTrainingData.ts31,372 KB12/12/2021 3:34 AM
05+Tanh.ts31,955 KB12/12/2021 3:34 AM
05+VectorisedGDAlgos.ts42,908 KB12/12/2021 3:34 AM
05_gdalgorithm2dplot.ts23,882 KB12/12/2021 3:34 AM
06+EarlyStoppingAndExercises.ts39,592 KB12/12/2021 3:34 AM
06+PerformanceOfAlgos.ts84,516 KB12/12/2021 3:34 AM
06+ReLu.ts26,923 KB12/12/2021 3:34 AM
06_momentun.ts49,948 KB12/12/2021 3:34 AM
07+GoodSolutionsExcercise.ts36,005 KB12/12/2021 3:34 AM
07+LeakyReLU.ts24,509 KB12/12/2021 3:34 AM
07_nag.ts32,616 KB12/12/2021 3:34 AM
08+Exercises.ts7,010 KB12/12/2021 3:34 AM
08_minibatch.ts44,000 KB12/12/2021 3:34 AM