机器学习-李宏毅(2019)MachineLearning_170_共:4.22GB

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1599615012000


文件名称: 机器学习-李宏毅(2019)MachineLearning_170_共:4.22GB
文件总数量: 86条
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压缩文件比: 0%
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文件创建时间: 2020-9-8 12:37:21

目录:【机器学习-李宏毅(2019)MachineLearning】
目录:【机器学习-李宏毅(2019)MachineLearning】
    9.P9MLLecture4_Classification.mp4
    86.P47Flow-basedGenerativeModel_.mp4
    85.P46ELMO
    84.P45Transformer.mp4
    83.P44GAN(QuickReview)_.mp4
    82.P43NetworkCompression(6_6).mp4
    81.P43NetworkCompression(5_6)_.mp4
    80.P43NetworkCompression(4_6).mp4
    8.P8MLLecture2_Wheredoestheerrorc.mp4
    79.P43NetworkCompression(3_6).mp4
    78.P43NetworkCompression(2_6).mp4
    77.P43NetworkCompression(1_6)_.mp4
    76.P42MLLecture23-3_ReinforcementLea_.mp4
    75.P41MLLecture23-2_PolicyGradient.mp4
    74.P40MLLecture23-1_DeepReinforcemen.mp4
    73.P39MoreaboutAuto-encoder(4_4).mp4
    72.P39MoreaboutAuto-encoder(3_4).mp4
    71.P39MoreaboutAuto-encoder(2_4).mp4
    70.P39MoreaboutAuto-encoder(1_4).mp4
    7.P7TheNextStepforMachineLearning.mp4
    69.P38MLLecture18_UnsupervisedLearni.mp4
    68.P37MLLecture17_UnsupervisedLearni.mp4
    67.P36MLLecture16_UnsupervisedLearni.mp4
    66.P35MetaLearning–Metric-based(3_3).mp4
    65.P35MetaLearning–Metric-based(2_3).mp4
    64.P35MetaLearning–Metric-based(1_3).mp4
    63.P34MetaLearning-GradientDescenta.mp4
    62.P34MetaLearning-GradientDescenta.mp4
    61.P34MetaLearning-GradientDescenta.mp4
    60.P33MLLecture15_UnsupervisedLearni.mp4
    6.P6MLLecture0-2_Whyweneedtolearn.mp4
    59.P32MLLecture14_UnsupervisedLearni.mp4
    58.P31MLLecture13_UnsupervisedLearni.mp4
    57.P30MetaLearning–MAML(9_9)_.mp4
    56.P30MetaLearning–MAML(8_9).mp4
    55.P30MetaLearning–MAML(7_9)_.mp4
    54.P30MetaLearning–MAML(6_9)_.mp4
    53.P30MetaLearning–MAML(5_9).mp4
    52.P30MetaLearning–MAML(4_9).mp4
    51.P30MetaLearning–MAML(3_9).mp4
    50.P30MetaLearning–MAML(2_9)_.mp4
    5.P5MLLecture1_Regression-Demo.mp4
    49.P30MetaLearning–MAML(1_9).mp4
    48.P29Sequence-to-sequenceLearning.mp4
    47.P28LifeLongLearning(1_7)_.mp4
    46.P25MLLecture22_Ensemble.mp4
    45.P24Ordered(莊永松).mp4
    44.P23MLLecture21-2_RecurrentNeural_.mp4
    43.P23MLLecture21-1_RecurrentNeural.mp4
    42.P22ExplainableML_.mp4
    41.P22ExplainableML(8_8).mp4
    40.P22ExplainableML(7_8).mp4
    4.P4MLLecture3-3_GradientDescent.mp4
    39.P22ExplainableML(6_8)_.mp4
    38.P22ExplainableML(5_8)_.mp4
    37.P22ExplainableML(4_8).mp4
    36.P22ExplainableML(3_8).mp4
    35.P22ExplainableML(2_8).mp4
    34.P21MLLecture9-3_FizzBuzzinTenso.mp4
    33.P20MLLecture9-2_KerasDemo2.mp4
    32.P19MLLecture9-1_TipsforTraining.mp4
    31.P18AttackMLModels(8_8).mp4
    30.P18AttackMLModels(7_8).mp4
    3.P3MLLecture3-2_GradientDescent_.mp4
    29.P18AttackMLModels(6_8).mp4
    28.P18AttackMLModels(5_8).mp4
    27.P18AttackMLModels(4_8).mp4
    26.P18AttackMLModels(3_8).mp4
    25.P18AttackMLModels(2_8).mp4
    24.P18AttackMLModels(1_8)_.mp4
    23.P17MLLecture8-3_KerasDemo.mp4
    22.P16MLLecture8-2_Keras2.0.mp4
    21.P15MLLecture8-1_“Helloworld”ofd.mp4
    20.P14MLLecture10_ConvolutionalNeura.mp4
    2.P2MLLecture3-1_GradientDescent.mp4
    19.P13AnomalyDetection(7_7).mp4
    18.P13AnomalyDetection(6_7).mp4
    17.P13AnomalyDetection(5_7)_.mp4
    16.P13AnomalyDetection(4_7).mp4
    15.P13AnomalyDetection(3_7).mp4
    14.P13AnomalyDetection(2_7).mp4
    13.P13AnomalyDetection(1_7).mp4
    12.P12MLLecture7_Backpropagation.mp4
    11.P11MLLecture6_BriefIntroductiono.mp4
    10.P10MLLecture5_LogisticRegression.mp4
    1.P1MLLecture1_Regression-CaseStud.mp4
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