【免费】FL009 – 李宏毅2021春季机器学习 [5.9G]

【免费】FL009 – 李宏毅2021春季机器学习 [5.9G]

┣━━01.视频 [5.6G]
┃ ┣━━01_2021_机器学习相关规定.mp4 [53.3M]
┃ ┣━━02_第一节__上____机器学习基本概念简介.mp4 [78.5M]
┃ ┣━━03__下____深度学习基本概念简介.mp4 [84.9M]
┃ ┣━━04_Google_Colab教学.mp4 [19.5M]
┃ ┣━━05_Pytorch_教学_part_1.mp4 [42.6M]
┃ ┣━━06_Pytorch_教学_part_2_英文有字幕_.mp4 [18.6M]
┃ ┣━━07_作业说明_HW1_slides.mp4 [36.7M]
┃ ┣━━08__选修_To_Learn_More___深度学习简介.mp4 [77.8M]
┃ ┣━━09__选修_To_Learn_More___反向传播_Backpropagation_.mp4 [43.6M]
┃ ┣━━10_第二节_机器学习任务攻略.mp4 [80M]
┃ ┣━━11_类神经网络训练不起来怎么办_一__局部最小值__local_minima__与鞍点__saddle_point_.mp4 [59.1M]
┃ ┣━━12_类神经网络训练不起来怎么办_二__批次__batch__与动量__momentum_.mp4 [54.5M]
┃ ┣━━13_类神经网络训练不起来怎么办_三__自动调整学习率__Learning_Rate_.mp4 [60.2M]
┃ ┣━━14_类神经网络训练不起来怎么办_四__损失函数__Loss__也可能有影响.mp4 [28.8M]
┃ ┣━━15_类神经网络训练不起来怎么办__五__批次标准化__Batch_Normalization_.mp4 [45.6M]
┃ ┣━━16__选修_To_Learn_More___Optimization_for_Deep_Learning__1_2_.mp4 [91.8M]
┃ ┣━━17__选修_To_Learn_More___Optimization_for_Deep_Learning__2_2_.mp4 [94.7M]
┃ ┣━━18__选修_To_Learn_More____Classification.mp4 [114.5M]
┃ ┣━━19__选修_To_Learn_More___Logistic_Regression.mp4 [110.2M]
┃ ┣━━20_作业说明_HW2中文低画质版.mp4 [64.6M]
┃ ┣━━21_作业说明_HW2_英文有字幕高清版.mp4 [59M]
┃ ┣━━22_第三节_卷积神经网络_CNN_.mp4 [91.2M]
┃ ┣━━23_自注意力机制_Self_attention__上_.mp4 [42M]
┃ ┣━━24_自注意力机制__Self_attention___下_.mp4 [71.4M]
┃ ┣━━25__选修_To_Learn_More___Unsupervised_Learning___Word_Embedding.mp4 [67.7M]
┃ ┣━━26__选修_To_Learn_More___Spatial_Transformer_Layer.mp4 [53.6M]
┃ ┣━━27__选修_To_Learn_More___Recurrent_Neural_Network.mp4 [68.7M]
┃ ┣━━28__选修_To_Learn_More___Graph_Neural_Network_1_2_.mp4 [76.8M]
┃ ┣━━29__选修_To_Learn_More___Graph_Neural_Network_2_2_.mp4 [137.6M]
┃ ┣━━30_作业说明_HW3_中文低画质.mp4 [57.2M]
┃ ┣━━31_作业说明_HW3_英文高画质有字幕.mp4 [61.9M]
┃ ┣━━32_作业说明_HW4_中文低画质版.mp4 [55.1M]
┃ ┣━━33_作业说明_HW4_英文无字幕高清版.mp4 [49.2M]
┃ ┣━━34_第五节_Transformer__上_.mp4 [53.1M]
┃ ┣━━35_Transformer__下_.mp4 [105.6M]
┃ ┣━━36__选修_To_Learn_More___Non_Autoregressive_Sequence_Generation.mp4 [118M]
┃ ┣━━37_作业说明_HW5_中文___Judgeboi讲解.mp4 [109.2M]
┃ ┣━━38_作业说明_HW5_slides_tutorial__英文版机翻.mp4 [30.4M]
┃ ┣━━39_作业说明_HW5_code_tutorial__英文版机翻.mp4 [53.5M]
┃ ┣━━40_第六节_生成式对抗网络_GAN___一____基本概念介紹.mp4 [66.5M]
┃ ┣━━41_生成式对抗网络_GAN___二____理论介绍与WGAN.mp4 [74.8M]
┃ ┣━━42_生成式对抗网络_GAN___三____生成器效能评估与条件式生成.mp4 [83.7M]
┃ ┣━━43_生成式对抗网络_GAN___四____Cycle_GAN.mp4 [42.8M]
┃ ┣━━44__选修_To_Learn_More___Unsupervised_Learning___Deep_Generative_Model__Part_I_.mp4 [45.3M]
┃ ┣━━45__选修_To_Learn_More___Unsupervised_Learning___Deep_Generative_Model__Part_II_.mp4 [100.7M]
┃ ┣━━46__选修_To_Learn_More___Flow_based__Generative_Model.mp4 [59M]
┃ ┣━━47_作业说明_HW6_中文版低画质.mp4 [42.5M]
┃ ┣━━48_作业说明_HW6_英文版高画质有字幕.mp4 [29M]
┃ ┣━━49_第七节_自监督式学习___一____芝麻街与进击的巨人.mp4 [14.4M]
┃ ┣━━50_自监督式学习__二____BERT简介.mp4 [77.3M]
┃ ┣━━51_自监督式学习__三_____BERT的奇闻轶事.mp4 [37.5M]
┃ ┣━━52_自监督式学习__四____GPT的野望.mp4 [30.5M]
┃ ┣━━53_自编码器__Auto_encoder___上____基本概念.mp4 [33.7M]
┃ ┣━━54_自编码器__Auto_encoder___下____领结变声器与更多应用.mp4 [50.5M]
┃ ┣━━55__选修_To_Learn_More___BERT_and_its_family___Introduction_and_Fine_tune.mp4 [82M]
┃ ┣━━56__选修_To_Learn_More___ELMo__BERT__GPT__XLNet__MASS__BART__UniLM__ELECTRA__others.mp4 [108.4M]
┃ ┣━━57__选修_To_Learn_More___Multilingual_BERT.mp4 [61.8M]
┃ ┣━━58__选修_To_Learn_More___來自獵人暗黑大陸的模型_GPT_3.mp4 [60.6M]
┃ ┣━━59__选修_To_Learn_More___Unsupervised_Learning___Linear_Methods.mp4 [142.1M]
┃ ┣━━60__选修_To_Learn_More___Unsupervised_Learning___Neighbor_Embedding.mp4 [47.4M]
┃ ┣━━61_作业说明_HW7_中文版低画质.mp4 [42.2M]
┃ ┣━━62_作业说明_HW8_中文版低画质.mp4 [49.8M]
┃ ┣━━63_第八节_来自人类的恶意攻击__Adversarial_Attack___上____基本概念.mp4 [49.2M]
┃ ┣━━64_来自人类的恶意攻击__Adversarial_Attack___下____类神经网络能否躲过人类深不见底的恶意.mp4 [83.4M]
┃ ┣━━65_机器学习的可解释性__Explainable_ML___上____为什么神经网络可以正确分辨宝可梦和数码宝贝.mp4 [86.6M]
┃ ┣━━66_机器学习的可解释性__Explainable_ML____下___机器心中的猫长什么样子.mp4 [41.3M]
┃ ┣━━67__选修_To_Learn_More___More_about_Adversarial_Attack__1_2_.mp4 [29.5M]
┃ ┣━━68__选修_To_Learn_More___More_about_Adversarial_Attack__2_2_.mp4 [58.8M]
┃ ┣━━69_作业说明_HW9_中文版低画质.mp4 [96.1M]
┃ ┣━━70_作业说明_HW10_中文版低画质.mp4 [99.3M]
┃ ┣━━71_第九节_概述领域自适应__Domain_Adaptation_.mp4 [56.7M]
┃ ┣━━72_作业说明_HW11_Domain_Adaptation_作業講解.mp4 [116.9M]
┃ ┣━━73_第十节_概述增強式學習_一____增强式学习和机器学习一样都是三个步骤.mp4 [66.5M]
┃ ┣━━74_概述增强式学习__二____Policy_Gradient_与修课心情.mp4 [63.4M]
┃ ┣━━75_概述增强式学习__三____Actor_Critic.mp4 [49.3M]
┃ ┣━━76_概述增强式学习__四____回馈非常罕見的時候怎么办_机器的望梅止渴.mp4 [26.6M]
┃ ┣━━77_概述增强式学习__五____如何从示范中学习_逆向增強式学习__Inverse_RL_.mp4 [46.2M]
┃ ┣━━78__选修_To_Learn_More___Deep_Reinforcement_Learning.mp4 [105.2M]
┃ ┣━━79__选修_To_Learn_More___Proximal_Policy_Optimization__PPO_.mp4 [38.9M]
┃ ┣━━80__选修_To_Learn_More___Q_learning__Basic_Idea_.mp4 [44.9M]
┃ ┣━━81__选修_To_Learn_More___Q_learning__Advanced_Tips_.mp4 [37M]
┃ ┣━━82__选修_To_Learn_More___Q_learning__Continuous_Action_.mp4 [12.3M]
┃ ┣━━83_第十二节_机器終身学习___一____为什么今日的人工智能无法成为天网_灾难性遗忘_Catastrophic_Forgetting_.mp4 [50.2M]
┃ ┣━━84_机器終身学习___二____灾难性遗忘_Catastrophic_Forgetting_.mp4 [56.8M]
┃ ┣━━85_神经网络压缩__一____类神经网络剪枝_Pruning__与大乐透假说_Lottery_Ticket_Hypothesis_.mp4 [50.8M]
┃ ┣━━86_神经网络压缩__二____从各种不同的面向來压缩神经网络.mp4 [84.6M]
┃ ┣━━87__选修_To_Learn_More___Geometry_of_Loss_Surfaces__Conjecture_.mp4 [23.6M]
┃ ┣━━88_第十三节_元学习_Meta_Learning__一____元学习和机器学习一样也是三個步骤.mp4 [73.5M]
┃ ┣━━89_元学习_Meta_Learning__二____万物皆可_Meta.mp4 [57M]
┃ ┣━━90__选修_To_Learn_More___Meta_Learning___MAML__1_.mp4 [6.5M]
┃ ┣━━91__选修_To_Learn_More___Meta_Learning___MAML__2_.mp4 [6.4M]
┃ ┣━━92__选修_To_Learn_More___Meta_Learning___MAML__3_.mp4 [12.4M]
┃ ┣━━93__选修_To_Learn_More___Meta_Learning___MAML__4_.mp4 [5.9M]
┃ ┣━━94__选修_To_Learn_More___Meta_Learning___MAML__5_.mp4 [12.8M]
┃ ┣━━95__选修_To_Learn_More___Meta_Learning___MAML__6_.mp4 [6.4M]
┃ ┣━━96__选修_To_Learn_More___Meta_Learning___MAML__7_.mp4 [7.1M]
┃ ┣━━97__选修_To_Learn_More___Meta_Learning___MAML__8_.mp4 [4.1M]
┃ ┣━━98__选修_To_Learn_More___Meta_Learning___MAML__9_.mp4 [5.5M]
┃ ┣━━99__选修_To_Learn_More___Meta_Learning___Metric_based__1_.mp4 [9M]
┃ ┣━━100__选修_To_Learn_More___Meta_Learning___Metric_based__2_.mp4 [4.6M]
┃ ┣━━101__选修_To_Learn_More___Meta_Learning___Metric_based__3_.mp4 [11.5M]
┃ ┗━━102__选修_To_Learn_More___Meta_Learning___Train_Test_as_RNN.mp4 [7.6M]
┗━━00.资料.zip [307M]

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