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ML-Class_videos
magnet:?xt=urn:btih:446229F8115ABEFA9A423A88DF0F93CA3434229C&dn=ML-Class_videos
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Hash值:
446229F8115ABEFA9A423A88DF0F93CA3434229C
点击数:
58
文件大小:
708.17 MB
文件数量:
57
创建日期:
2011-11-6 01:31
最后访问:
2024-9-18 08:55
访问标签:
ML-Class_videos
文件列表详情
05.2-OctaveTutorial-MovingDataAround.mp4 25.42 MB
06.6-LogisticRegression-AdvancedOptimization.mp4 21.59 MB
09.8-NeuralNetworksLearning-AutonomousDrivingExample.mp4 21.25 MB
05.1-OctaveTutorial-BasicOperations.mp4 20.69 MB
05.5-OctaveTutorial-ForWhileIfStatementsAndFunctions.mp4 19.69 MB
01.4-V2-Introduction-UnsupervisedLearning.mp4 18.17 MB
09.7-NeuralNetworksLearning-PuttingItTogether.mp4 17.88 MB
06.3-LogisticRegression-DecisionBoundary.mp4 17.51 MB
09.3-NeuralNetworksLearning-BackpropagationIntuition.mp4 17.14 MB
08.6-NeuralNetworksRepresentation-ExamplesAndIntuitionsII.mp4 16.84 MB
05.6-OctaveTutorial-Vectorization.mp4 16.83 MB
03.3-V2-LinearAlgebraReview(Optional)-MatrixVectorMultiplication.mp4 15.9 MB
09.2-NeuralNetworksLearning-BackpropagationAlgorithm.mp4 15.07 MB
02.5-V2-LinearRegressionWithOneVariable-GradientDescent.mp4 14.93 MB
09.4-NeuralNetworksLearning-GradientChecking.mp4 14.76 MB
08.4-NeuralNetworksRepresentation-ModelRepresentationII.mp4 14.41 MB
08.3-NeuralNetworksRepresentation-ModelRepresentationI.mp4 14.37 MB
03.6-V2-LinearAlgebraReview(Optional)-InverseAndTranspose.mp4 14.13 MB
06.4-LogisticRegression-CostFunction.mp4 14.11 MB
02.4-V2-LinearRegressionWithOneVariable-CostFunctionIntuitionII.mp4 13.92 MB
02.6-V2-LinearRegressionWithOneVariable-GradientDescentIntuition.mp4 13.91 MB
03.4-V2-LinearAlgebraReview(Optional)-MatrixMatrixMultiplication.mp4 13.81 MB
01.3-V2-Introduction-SupervisedLearning.mp4 13.65 MB
02.7-V2-LinearRegressionWithOneVariable-GradientDescentForLinearRegression.mp4 13.55 MB
07.4-Regularization-RegularizedLogisticRegression.mp4 13.5 MB
04.6-V2-LinearRegressionWithMultipleVariables-NormalEquation.mp4 13.34 MB
06.5-LogisticRegression-SimplifiedCostFunctionAndGradientDescent.mp4 13.07 MB
02.3-V2-LinearRegressionWithOneVariable-CostFunctionIntuitionI.mp4 12.91 MB
07.3-Regularization-RegularizedLinearRegression.mp4 12.77 MB
07.2-Regularization-CostFunction.mp4 12.43 MB
07.1-Regularization-TheProblemOfOverfitting.mp4 11.96 MB
08.1-NeuralNetworksRepresentation-NonLinearHypotheses.mp4 11.53 MB
08.2-NeuralNetworksRepresentation-NeuronsAndTheBrain.mp4 11.47 MB
01.2-V2-Introduction-WhatIsMachineLearning.mp4 11.44 MB
05.4-OctaveTutorial-PlottingData.mp4 11.31 MB
09.3-NeuralNetworksLearning-ImplementationNoteUnrollingParameters.mp4 10.54 MB
05.3-OctaveTutorial-ComputingOnData.mp4 10.37 MB
03.5-V2-LinearAlgebraReview(Optional)-MatrixMultiplicationProperties.mp4 10.16 MB
03.1-V2-LinearAlgebraReview(Optional)-MatricesAndVectors.mp4 9.79 MB
02.2-V2-LinearRegressionWithOneVariable-CostFunction.mp4 9.63 MB
02.1-V2-LinearRegressionWithOneVariable-ModelRepresentation.mp4 9.49 MB
06.2-LogisticRegression-HypothesisRepresentation.mp4 8.81 MB
06.1-LogisticRegression-Classification.mp4 8.73 MB
08.5-NeuralNetworksRepresentation-ExamplesAndIntuitionsI.mp4 8.29 MB
09.1-NeuralNetworksLearning-CostFunction.mp4 8.1 MB
09.5-NeuralNetworksLearning-RandomInitialization.mp4 7.95 MB
03.2-V2-LinearAlgebraReview(Optional)-AdditionAndScalarMultiplication.mp4 7.85 MB
04.3-LinearRegressionWithMultipleVariables-GradientDescentInPracticeIFeatureScaling.mp4 7.58 MB
06.7-LogisticRegression-MultiClassClassificationOneVsAll.mp4 7.29 MB
05.7-OctaveTutorial-WorkingOnAndSubmittingProgrammingExercises.mp4 7.25 MB
04.4-LinearRegressionWithMultipleVariables-GradientDescentInPracticeIILearningRate.mp4 6.86 MB
04.1-LinearRegressionWithMultipleVariables-MultipleFeatures.mp4 6.13 MB
02.8-V2-What'sNext.mp4 6.09 MB
04.2-LinearRegressionWithMultipleVariables-GradientDescentForMultipleVariables.mp4 5.9 MB
04.5-LinearRegressionWithMultipleVariables-FeaturesAndPolynomialRegression.mp4 5.74 MB
04.7-LinearRegressionWithMultipleVariables-NormalEquationNonInvertibility(Optional).mp4 5.18 MB
04.7-LinearRegressionWithMultipleVariables-NormalEquationNonInvertibility(Optional) (1).mp4 5.18 MB
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