李宏毅机器2020完整视频ppt作业视频40李宏毅机器学习2020完整视频ppt作业
1 文件名称： 李宏毅机器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：【李宏毅机器学习2020完整视频+ppt+作业】目录：【李宏毅机器学习2020完整视频+ppt+作业】目录：【李宏毅机器学习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：【李宏毅机器学习2020完整视频+ppt+作业/leeml20/video】names模型下载 [3.09kb]目录：【李宏毅机器学习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：【李宏毅机器学习2020完整视频+ppt+作业/leeml20/datasets】目录：【李宏毅机器学习2020完整视频+ppt+作业/leeml20/code】目录：【李宏毅机器学习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_anomaly_detection.flv [25.76mb]目录：【李宏毅机器学习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：【李宏毅机器学习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_anomaly_detection_7_7.flv [11.44mb]p4_ml_lecture_2_where_does_the_error_come_from.flv [85.92mb]p49_anomaly_detection_6_7.flv [25.45mb]p48_anomaly_detection_5_7.flv [24.70mb]p47_anomaly_detection_4_7.flv [7.73mb]p46_anomaly_detection_3_7.flv [27.08mb]p45_anomaly_detection_2_7.flv [28.18mb]p44_作業十_anomaly_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]
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