ML-Class_videos
- 收录时间:2018-03-16 06:17:16
- 文件大小:708MB
- 下载次数:171
- 最近下载:2021-01-20 22:23:56
- 磁力链接:
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文件列表
- 05.2-OctaveTutorial-MovingDataAround.mp4 25MB
- 06.6-LogisticRegression-AdvancedOptimization.mp4 22MB
- 09.8-NeuralNetworksLearning-AutonomousDrivingExample.mp4 21MB
- 05.1-OctaveTutorial-BasicOperations.mp4 21MB
- 05.5-OctaveTutorial-ForWhileIfStatementsAndFunctions.mp4 20MB
- 01.4-V2-Introduction-UnsupervisedLearning.mp4 18MB
- 09.7-NeuralNetworksLearning-PuttingItTogether.mp4 18MB
- 06.3-LogisticRegression-DecisionBoundary.mp4 18MB
- 09.3-NeuralNetworksLearning-BackpropagationIntuition.mp4 17MB
- 08.6-NeuralNetworksRepresentation-ExamplesAndIntuitionsII.mp4 17MB
- 05.6-OctaveTutorial-Vectorization.mp4 17MB
- 03.3-V2-LinearAlgebraReview(Optional)-MatrixVectorMultiplication.mp4 16MB
- 09.2-NeuralNetworksLearning-BackpropagationAlgorithm.mp4 15MB
- 02.5-V2-LinearRegressionWithOneVariable-GradientDescent.mp4 15MB
- 09.4-NeuralNetworksLearning-GradientChecking.mp4 15MB
- 08.4-NeuralNetworksRepresentation-ModelRepresentationII.mp4 14MB
- 08.3-NeuralNetworksRepresentation-ModelRepresentationI.mp4 14MB
- 03.6-V2-LinearAlgebraReview(Optional)-InverseAndTranspose.mp4 14MB
- 06.4-LogisticRegression-CostFunction.mp4 14MB
- 02.4-V2-LinearRegressionWithOneVariable-CostFunctionIntuitionII.mp4 14MB
- 02.6-V2-LinearRegressionWithOneVariable-GradientDescentIntuition.mp4 14MB
- 03.4-V2-LinearAlgebraReview(Optional)-MatrixMatrixMultiplication.mp4 14MB
- 01.3-V2-Introduction-SupervisedLearning.mp4 14MB
- 02.7-V2-LinearRegressionWithOneVariable-GradientDescentForLinearRegression.mp4 14MB
- 07.4-Regularization-RegularizedLogisticRegression.mp4 13MB
- 04.6-V2-LinearRegressionWithMultipleVariables-NormalEquation.mp4 13MB
- 06.5-LogisticRegression-SimplifiedCostFunctionAndGradientDescent.mp4 13MB
- 02.3-V2-LinearRegressionWithOneVariable-CostFunctionIntuitionI.mp4 13MB
- 07.3-Regularization-RegularizedLinearRegression.mp4 13MB
- 07.2-Regularization-CostFunction.mp4 12MB
- 07.1-Regularization-TheProblemOfOverfitting.mp4 12MB
- 08.1-NeuralNetworksRepresentation-NonLinearHypotheses.mp4 12MB
- 08.2-NeuralNetworksRepresentation-NeuronsAndTheBrain.mp4 11MB
- 01.2-V2-Introduction-WhatIsMachineLearning.mp4 11MB
- 05.4-OctaveTutorial-PlottingData.mp4 11MB
- 09.3-NeuralNetworksLearning-ImplementationNoteUnrollingParameters.mp4 11MB
- 05.3-OctaveTutorial-ComputingOnData.mp4 10MB
- 03.5-V2-LinearAlgebraReview(Optional)-MatrixMultiplicationProperties.mp4 10MB
- 03.1-V2-LinearAlgebraReview(Optional)-MatricesAndVectors.mp4 10MB
- 02.2-V2-LinearRegressionWithOneVariable-CostFunction.mp4 10MB
- 02.1-V2-LinearRegressionWithOneVariable-ModelRepresentation.mp4 9MB
- 06.2-LogisticRegression-HypothesisRepresentation.mp4 9MB
- 06.1-LogisticRegression-Classification.mp4 9MB
- 08.5-NeuralNetworksRepresentation-ExamplesAndIntuitionsI.mp4 8MB
- 09.1-NeuralNetworksLearning-CostFunction.mp4 8MB
- 09.5-NeuralNetworksLearning-RandomInitialization.mp4 8MB
- 03.2-V2-LinearAlgebraReview(Optional)-AdditionAndScalarMultiplication.mp4 8MB
- 04.3-LinearRegressionWithMultipleVariables-GradientDescentInPracticeIFeatureScaling.mp4 8MB
- 06.7-LogisticRegression-MultiClassClassificationOneVsAll.mp4 7MB
- 05.7-OctaveTutorial-WorkingOnAndSubmittingProgrammingExercises.mp4 7MB
- 04.4-LinearRegressionWithMultipleVariables-GradientDescentInPracticeIILearningRate.mp4 7MB
- 04.1-LinearRegressionWithMultipleVariables-MultipleFeatures.mp4 6MB
- 02.8-V2-What'sNext.mp4 6MB
- 04.2-LinearRegressionWithMultipleVariables-GradientDescentForMultipleVariables.mp4 6MB
- 04.5-LinearRegressionWithMultipleVariables-FeaturesAndPolynomialRegression.mp4 6MB
- 04.7-LinearRegressionWithMultipleVariables-NormalEquationNonInvertibility(Optional).mp4 5MB
- 04.7-LinearRegressionWithMultipleVariables-NormalEquationNonInvertibility(Optional) (1).mp4 5MB
