Li宏毅机器2020完整视频+ppt+作业视频40_共：9.05GB

多种网盘链接检测插件

购买前，请先检测网盘链接是否有效

您当前无权限查看，请先登录，或点此注册！

• 1.百度网盘链接，查看是否有效

VIP低至28元三个月，无套路，VIP期间免费下载资源。

                       

1624116066000

文件名称：	Li宏毅机器2020完整视频+ppt+作业视频40_共：9.05GB
文件总数量：	218条
压缩文件数量：	6条
压缩文件比：	2.75%
疑似加密文件：	0条(需要授权播放的文件)
文件创建时间：	2021-6-15 14:50:54

目录：【Li宏毅机器学习2020完整视频+ppt+作业】
目录：【Li宏毅机器学习2020完整视频+ppt+作业】
目录：【Li宏毅机器学习2020完整视频+ppt+作业/LeeML20】
    main_ihwang.css　[2.15KB]
    HW.png　[141.88KB]
    courses_ML20.html　[19.70KB]
目录：【Li宏毅机器学习2020完整视频+ppt+作业/LeeML20/video】
    names.txt　[3.09KB]
目录：【Li宏毅机器学习2020完整视频+ppt+作业/LeeML20/slides】
    XAI(v7).pdf　[3.36MB]
    word2vec(v2).pdf　[1.38MB]
    Why.pdf　[2.76MB]
    WGAN(v2).pdf　[1.00MB]
    TSNE.pdf　[1.09MB]
    transfer(v3).pdf　[2.44MB]
    semi(v3).pdf　[1.34MB]
    small(v6)_.pdf　[1.78MB]
    rule.pdf　[635.40KB]
    RNN(v2).pdf　[3.79MB]
    RL(v6).pdf　[2.29MB]
    Reward(v3).pdf　[856.92KB]
    Regression.pdf　[1.57MB]
    Recursive.pdf　[872.47KB]
    QLearning(v2).pdf　[1.60MB]
    PPO(v3).pdf　[874.01KB]
    Pointer.pdf　[738.98KB]
    PhotoEditing.pdf　[1.19MB]
    PCA(v3).pdf　[1.76MB]
    Meta2(v4).pdf　[1.82MB]
    Meta1(v6).pdf　[1.60MB]
    LogisticRegression(v3).pdf　[1.54MB]
    Life龙Learning(v9).pdf　[1.71MB]
    IRL(v2).pdf　[844.73KB]
    introduction.pdf　[1.94MB]
    GradientDescent(v2).pdf　[1.53MB]
    GNN.pdf　[30.62MB]
    GANtheory(v2).pdf　[706.17KB]
    GANSeqNew.pdf　[2.03MB]
    GANfeature.pdf　[978.68KB]
    GANEvaluation.pdf　[559.20KB]
    GAN(v2).pdf　[2.94MB]
    fGAN.pdf　[516.86KB]
    DNNtip.pdf　[2.37MB]
    DL(v2).pdf　[1.74MB]
    Detection(v9).pdf　[2.21MB]
    CycleGAN.pdf　[2.02MB]
    CNN.pdf　[3.46MB]
    Classification(v3).pdf　[1.37MB]
    CGAN.pdf　[934.44KB]
    BP.pdf　[914.30KB]
    BiasandVariance(v2).pdf　[1.04MB]
    auto.pdf　[1.81MB]
    Auto(v3).pdf　[1.61MB]
    Attain(v5).pdf　[3.39MB]
    Attack(v8).pdf　[2.55MB]
    AC.pdf　[798.12KB]
目录：【Li宏毅机器学习2020完整视频+ppt+作业/LeeML20/datasets】
目录：【Li宏毅机器学习2020完整视频+ppt+作业/LeeML20/code】
目录：【Li宏毅机器学习2020完整视频+ppt+作业/LeeML20/video/homework】
    HW9_Unsupervised_Learning.flv　[17.20MB]
    HW8_Seq2seq.flv　[34.68MB]
    HW7_Network_Compression.flv　[28.55MB]
    HW6_Adversarial_Attack.flv　[18.08MB]
    HW5_Explainable.flv　[60.87MB]
    HW4_RNN.flv　[25.56MB]
    HW3_CNN.flv　[31.57MB]
    HW2_Classification.flv　[27.29MB]
    HW1_Regression.flv　[11.74MB]
    HW15_Reinforcement_Learning.flv　[15.49MB]
    HW14_Life-龙_Learning.flv　[41.38MB]
    HW13_Meta_Learning_3.flv　[86.96MB]
    HW13_Meta_Learning_2.flv　[15.67MB]
    HW13_Meta_Learning_1.flv　[34.70MB]
    HW12_Transfer_Learning.flv　[13.19MB]
    HW11_GAN.flv　[23.20MB]
    HW10_安omaly_Detection.flv　[25.76MB]
目录：【Li宏毅机器学习2020完整视频+ppt+作业/LeeML20/video/extra】
    graph_neural_network_2.mp4　[103.96MB]
    graph_neual_network_1.flv　[85.75MB]
目录：【Li宏毅机器学习2020完整视频+ppt+作业/LeeML20/video/course】
    P9_ML_Lecture_5_Logistic_Regression.flv　[127.75MB]
    P8_作業二_ML_Lecture_4_Classification.flv　[135.81MB]
    P81_DRL_Lecture_8_Imitation_Learning.flv　[60.01MB]
    P80_DRL_Lecture_7_Sparse_Reward.flv　[58.70MB]
    P7_ML_Lecture_3-3_Gradient_Descent_Demo_by_Minecraft.flv　[17.45MB]
    P79_DRL_Lecture_6_Actor-Critic.flv　[60.68MB]
    P78_DRL_Lecture_5_Q-learning_Continuous_Action.flv　[28.77MB]
    P77_DRL_Lecture_4_Q-learning_Advanced_Tips.flv　[70.52MB]
    P76_DRL_Lecture_3_Q-learning_Basic_Idea.flv　[88.14MB]
    P75_DRL_Lecture_2__Proximal_Policy_Optimization_PPO.flv　[77.63MB]
    P74_DRL_Lecture_1_Policy_Gradient_Review.flv　[82.27MB]
    P73_ML_Lecture_23-3_Reinforcement_Learning_including_Q-learning.flv　[440.70MB]
    P72_ML_Lecture_23-2_Policy_Gradient_Supplementary_Explanation.flv　[25.39MB]
    P71_作業十五_ML_Lecture_23-1_Deep_Reinforcement_Learning.flv　[131.57MB]
    P70_Life_龙_Learning_7_7.flv　[19.80MB]
    P6_ML_Lecture_3-2_Gradient_Descent_Demo_by_AOE.flv　[9.38MB]
    P69_Life_龙_Learning_6_7.flv　[26.75MB]
    P68_Life_龙_Learning_5_7.flv　[6.21MB]
    P67_Life_龙_Learning_4_7.flv　[8.77MB]
    P66_Life_龙_Learning_3_7.flv　[20.58MB]
    P65_Life_龙_Learning_2_7.flv　[14.08MB]
    P64_作業十四_Life_龙_Learning_1_7.flv　[24.58MB]
    P63_作業十三Introduction_of_Meta_Learning_.flv　[24.58MB]
    P62_ML_Lecture_19_Transfer_Learning.mp4　[225.68MB]
    P61_作業十二_ML_Lecture_12_Semi-supervised.flv　[116.92MB]
    P60_GAN_Lecture_10_2018_Evaluation_Concluding_Remarks.flv　[58.19MB]
    P5_Gradient_Descent_ML_Lecture_3-1_Gradient_Descent.flv　[118.32MB]
    P59_GAN_Lecture_9_2018_Sequence_Generation.flv　[159.57MB]
    P58_GAN_Lecture_8_2018_Photo_Editing.flv　[43.62MB]
    P57_GAN_Lecture_7_2018_Info_GAN　[86.19MB]
    P56_GAN_Lecture_6_2018_WGAN　[86.19MB]
    P55_GAN_Lecture_5_2018_General_Framework.flv　[47.50MB]
    P54_GAN_Lecture_4_2018_Basic_Theory.flv　[168.58MB]
    P53_GAN_Lecture_3_2018_Unsupervised_Conditional_Generation.flv　[76.79MB]
    P52_GAN_Lecture_2_2018_Conditional_Generation.flv　[57.03MB]
    P51_作業十一_GAN_Lecture_1_2018_Introduction.flv　[180.61MB]
    P50_安omaly_Detection_7_7.flv　[11.44MB]
    P4_ML_Lecture_2_Where_does_the_error_come_from.flv　[85.92MB]
    P49_安omaly_Detection_6_7.flv　[25.45MB]
    P48_安omaly_Detection_5_7.flv　[24.70MB]
    P47_安omaly_Detection_4_7.flv　[7.73MB]
    P46_安omaly_Detection_3_7.flv　[27.08MB]
    P45_安omaly_Detection_2_7.flv　[28.18MB]
    P44_作業十_安omaly_Detection_1_7_.flv　[25.11MB]
    P43_ML_Lecture_16_Unsupervised_Learning_Auto-encoder.flv　[81.52MB]
    P42_ML_Lecture_15_Unsupervised_Learning_Neighbor_Embedding.flv　[61.06MB]
    P41_作業九_ML_Lecture_13_Unsupervised_Learning_Linear_Methods.flv　[197.18MB]