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种子名称： ML-Class_videos
文件类型：
文件数目： 57个文件
文件大小： 708.17 MB
收录时间： 2011-11-6 01:31
已经下载： 3次
资源热度： 51
最近下载： 2024-6-28 16:18

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种子包含的文件

ML-Class_videos.torrent

05.2-OctaveTutorial-MovingDataAround.mp425.42MB

06.6-LogisticRegression-AdvancedOptimization.mp421.59MB

09.8-NeuralNetworksLearning-AutonomousDrivingExample.mp421.25MB

05.1-OctaveTutorial-BasicOperations.mp420.69MB

05.5-OctaveTutorial-ForWhileIfStatementsAndFunctions.mp419.69MB

01.4-V2-Introduction-UnsupervisedLearning.mp418.17MB

09.7-NeuralNetworksLearning-PuttingItTogether.mp417.88MB

06.3-LogisticRegression-DecisionBoundary.mp417.51MB

09.3-NeuralNetworksLearning-BackpropagationIntuition.mp417.14MB

08.6-NeuralNetworksRepresentation-ExamplesAndIntuitionsII.mp416.84MB

05.6-OctaveTutorial-Vectorization.mp416.83MB

03.3-V2-LinearAlgebraReview(Optional)-MatrixVectorMultiplication.mp415.9MB

09.2-NeuralNetworksLearning-BackpropagationAlgorithm.mp415.07MB

02.5-V2-LinearRegressionWithOneVariable-GradientDescent.mp414.93MB

09.4-NeuralNetworksLearning-GradientChecking.mp414.76MB

08.4-NeuralNetworksRepresentation-ModelRepresentationII.mp414.41MB

08.3-NeuralNetworksRepresentation-ModelRepresentationI.mp414.37MB

03.6-V2-LinearAlgebraReview(Optional)-InverseAndTranspose.mp414.13MB

06.4-LogisticRegression-CostFunction.mp414.11MB

02.4-V2-LinearRegressionWithOneVariable-CostFunctionIntuitionII.mp413.92MB

02.6-V2-LinearRegressionWithOneVariable-GradientDescentIntuition.mp413.91MB

03.4-V2-LinearAlgebraReview(Optional)-MatrixMatrixMultiplication.mp413.81MB

01.3-V2-Introduction-SupervisedLearning.mp413.65MB

02.7-V2-LinearRegressionWithOneVariable-GradientDescentForLinearRegression.mp413.55MB

07.4-Regularization-RegularizedLogisticRegression.mp413.5MB

04.6-V2-LinearRegressionWithMultipleVariables-NormalEquation.mp413.34MB

06.5-LogisticRegression-SimplifiedCostFunctionAndGradientDescent.mp413.07MB

02.3-V2-LinearRegressionWithOneVariable-CostFunctionIntuitionI.mp412.91MB

07.3-Regularization-RegularizedLinearRegression.mp412.77MB

07.2-Regularization-CostFunction.mp412.43MB

07.1-Regularization-TheProblemOfOverfitting.mp411.96MB

08.1-NeuralNetworksRepresentation-NonLinearHypotheses.mp411.53MB

08.2-NeuralNetworksRepresentation-NeuronsAndTheBrain.mp411.47MB

01.2-V2-Introduction-WhatIsMachineLearning.mp411.44MB

05.4-OctaveTutorial-PlottingData.mp411.31MB

09.3-NeuralNetworksLearning-ImplementationNoteUnrollingParameters.mp410.54MB

05.3-OctaveTutorial-ComputingOnData.mp410.37MB

03.5-V2-LinearAlgebraReview(Optional)-MatrixMultiplicationProperties.mp410.16MB

03.1-V2-LinearAlgebraReview(Optional)-MatricesAndVectors.mp49.79MB

02.2-V2-LinearRegressionWithOneVariable-CostFunction.mp49.63MB

02.1-V2-LinearRegressionWithOneVariable-ModelRepresentation.mp49.49MB

06.2-LogisticRegression-HypothesisRepresentation.mp48.81MB

06.1-LogisticRegression-Classification.mp48.73MB

08.5-NeuralNetworksRepresentation-ExamplesAndIntuitionsI.mp48.29MB

09.1-NeuralNetworksLearning-CostFunction.mp48.1MB

09.5-NeuralNetworksLearning-RandomInitialization.mp47.95MB

03.2-V2-LinearAlgebraReview(Optional)-AdditionAndScalarMultiplication.mp47.85MB

04.3-LinearRegressionWithMultipleVariables-GradientDescentInPracticeIFeatureScaling.mp47.58MB

06.7-LogisticRegression-MultiClassClassificationOneVsAll.mp47.29MB

05.7-OctaveTutorial-WorkingOnAndSubmittingProgrammingExercises.mp47.25MB

04.4-LinearRegressionWithMultipleVariables-GradientDescentInPracticeIILearningRate.mp46.86MB

04.1-LinearRegressionWithMultipleVariables-MultipleFeatures.mp46.13MB

02.8-V2-What'sNext.mp46.09MB

04.2-LinearRegressionWithMultipleVariables-GradientDescentForMultipleVariables.mp45.9MB

04.5-LinearRegressionWithMultipleVariables-FeaturesAndPolynomialRegression.mp45.74MB

04.7-LinearRegressionWithMultipleVariables-NormalEquationNonInvertibility(Optional).mp45.18MB

04.7-LinearRegressionWithMultipleVariables-NormalEquationNonInvertibility(Optional) (1).mp45.18MB