李宏毅2021春机器学习课程 ，网盘下载(5.66G)

李宏毅2021春机器学习课程[5.66G]

04_Google_Colab教学.mp4[19.48M]

05_Pytorch_教学_part_1.mp4[42.60M]

06_Pytorch_教学_part_2_英文有字幕_.mp4[18.57M]

07_作业说明_HW1_slides.mp4[36.71M]

08__选修_To_Learn_More___深度学习简介.mp4[77.79M]

09__选修_To_Learn_More___反向传播_Backpropagation_.mp4[43.62M]

10_第二节_机器学习任务攻略.mp4[79.99M]

100__选修_To_Learn_More___Meta_Learning___Metric_based__2_.mp4[4.57M]

101__选修_To_Learn_More___Meta_Learning___Metric_based__3_.mp4[11.48M]

102__选修_To_Learn_More___Meta_Learning___Train_Test_as_RNN.mp4[7.63M]

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[59.09M]

12_类神经网络训练不起来怎么办_二__批次__batch__与动量__momentum_.mp4[54.53M]

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[60.20M]

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[28.81M]

15_类神经网络训练不起来怎么办__五__批次标准化__Batch_Normalization_.mp4[45.64M]

16__选修_To_Learn_More___Optimization_for_Deep_Learning__1_2_.mp4[91.83M]

17__选修_To_Learn_More___Optimization_for_Deep_Learning__2_2_.mp4[94.68M]

18__选修_To_Learn_More____Classification.mp4[114.47M]

19__选修_To_Learn_More___Logistic_Regression.mp4[110.19M]

20_作业说明_HW2中文低画质版.mp4[64.63M]

21_作业说明_HW2_英文有字幕高清版.mp4[58.98M]

22_第三节_卷积神经网络_CNN_.mp4[91.24M]

23_自注意力机制_Self_attention__上_.mp4[42.00M]

24_自注意力机制__Self_attention___下_.mp4[71.41M]

25__选修_To_Learn_More___Unsupervised_Learning___Word_Embedding.mp4[67.75M]

26__选修_To_Learn_More___Spatial_Transformer_Layer.mp4[53.57M]

27__选修_To_Learn_More___Recurrent_Neural_Network.mp4[68.69M]

28__选修_To_Learn_More___Graph_Neural_Network_1_2_.mp4[76.77M]

29__选修_To_Learn_More___Graph_Neural_Network_2_2_.mp4[137.64M]

30_作业说明_HW3_中文低画质.mp4[57.16M]

31_作业说明_HW3_英文高画质有字幕.mp4[61.91M]

32_作业说明_HW4_中文低画质版.mp4[55.11M]

33_作业说明_HW4_英文无字幕高清版.mp4[49.18M]

34_第五节_Transformer__上_.mp4[53.07M]

35_Transformer__下_.mp4[105.63M]

36__选修_To_Learn_More___Non_Autoregressive_Sequence_Generation.mp4[117.95M]

37_作业说明_HW5_中文___Judgeboi讲解.mp4[109.24M]

38_作业说明_HW5_slides_tutorial__英文版机翻.mp4[30.43M]

39_作业说明_HW5_code_tutorial__英文版机翻.mp4[53.51M]

40_第六节_生成式对抗网络_GAN___一____基本概念介紹.mp4[66.54M]

41_生成式对抗网络_GAN___二____理论介绍与WGAN.mp4[74.76M]

42_生成式对抗网络_GAN___三____生成器效能评估与条件式生成.mp4[83.72M]

43_生成式对抗网络_GAN___四____Cycle_GAN.mp4[42.75M]

44__选修_To_Learn_More___Unsupervised_Learning___Deep_Generative_Model__Part_I_.mp4[45.33M]

45__选修_To_Learn_More___Unsupervised_Learning___Deep_Generative_Model__Part_II_.mp4[100.67M]

46__选修_To_Learn_More___Flow_based__Generative_Model.mp4[58.96M]

47_作业说明_HW6_中文版低画质.mp4[42.51M]

48_作业说明_HW6_英文版高画质有字幕.mp4[28.97M]

49_第七节_自监督式学习___一____芝麻街与进击的巨人.mp4[14.37M]

50_自监督式学习__二____BERT简介.mp4[77.34M]

51_自监督式学习__三_____BERT的奇闻轶事.mp4[37.53M]

52_自监督式学习__四____GPT的野望.mp4[30.47M]

53_自编码器__Auto_encoder___上____基本概念.mp4[33.72M]

54_自编码器__Auto_encoder___下____领结变声器与更多应用.mp4[50.45M]

55__选修_To_Learn_More___BERT_and_its_family___Introduction_and_Fine_tune.mp4[82.02M]

56__选修_To_Learn_More___ELMo__BERT__GPT__XLNet__MASS__BART__UniLM__ELECTRA__others.mp4[108.36M]

57__选修_To_Learn_More___Multilingual_BERT.mp4[61.80M]

58__选修_To_Learn_More___來自獵人暗黑大陸的模型_GPT_3.mp4[60.60M]

59__选修_To_Learn_More___Unsupervised_Learning___Linear_Methods.mp4[142.14M]

60__选修_To_Learn_More___Unsupervised_Learning___Neighbor_Embedding.mp4[47.41M]

61_作业说明_HW7_中文版低画质.mp4[42.21M]

62_作业说明_HW8_中文版低画质.mp4[49.78M]

63_第八节_来自人类的恶意攻击__Adversarial_Attack___上____基本概念.mp4[49.22M]

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[83.43M]

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[86.59M]

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[41.30M]

67__选修_To_Learn_More___More_about_Adversarial_Attack__1_2_.mp4[29.50M]

68__选修_To_Learn_More___More_about_Adversarial_Attack__2_2_.mp4[58.85M]

69_作业说明_HW9_中文版低画质.mp4[96.14M]

70_作业说明_HW10_中文版低画质.mp4[99.31M]

71_第九节_概述领域自适应__Domain_Adaptation_.mp4[56.69M]

72_作业说明_HW11_Domain_Adaptation_作業講解.mp4[116.91M]

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[66.47M]

74_概述增强式学习__二____Policy_Gradient_与修课心情.mp4[63.43M]

75_概述增强式学习__三____Actor_Critic.mp4[49.31M]

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[26.60M]

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[46.20M]

78__选修_To_Learn_More___Deep_Reinforcement_Learning.mp4[105.22M]

79__选修_To_Learn_More___Proximal_Policy_Optimization__PPO_.mp4[38.86M]

80__选修_To_Learn_More___Q_learning__Basic_Idea_.mp4[44.90M]

81__选修_To_Learn_More___Q_learning__Advanced_Tips_.mp4[37.02M]

82__选修_To_Learn_More___Q_learning__Continuous_Action_.mp4[12.34M]

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[50.24M]

84_机器終身学习___二____灾难性遗忘_Catastrophic_Forgetting_.mp4[56.82M]

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[50.77M]

86_神经网络压缩__二____从各种不同的面向來压缩神经网络.mp4[84.62M]

87__选修_To_Learn_More___Geometry_of_Loss_Surfaces__Conjecture_.mp4[23.61M]

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[73.48M]

89_元学习_Meta_Learning__二____万物皆可_Meta.mp4[56.98M]

90__选修_To_Learn_More___Meta_Learning___MAML__1_.mp4[6.46M]

91__选修_To_Learn_More___Meta_Learning___MAML__2_.mp4[6.39M]

92__选修_To_Learn_More___Meta_Learning___MAML__3_.mp4[12.36M]

93__选修_To_Learn_More___Meta_Learning___MAML__4_.mp4[5.89M]

94__选修_To_Learn_More___Meta_Learning___MAML__5_.mp4[12.83M]

95__选修_To_Learn_More___Meta_Learning___MAML__6_.mp4[6.41M]

96__选修_To_Learn_More___Meta_Learning___MAML__7_.mp4[7.12M]

97__选修_To_Learn_More___Meta_Learning___MAML__8_.mp4[4.05M]

98__选修_To_Learn_More___Meta_Learning___MAML__9_.mp4[5.54M]

99__选修_To_Learn_More___Meta_Learning___Metric_based__1_.mp4[9.04M]

Lhy_Machine_Learning-main.zip[306.87M]