Li宏毅2021春机器课程视频40_共:5.66GB

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1624115996000

1624115996000


文件名称: Li宏毅2021春机器课程视频40_共:5.66GB
文件总数量: 101条
压缩文件数量: 1条
压缩文件比: 0.99%
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 17:10:17

目录:【Li宏毅2021春机器学习课程】
目录:【Li宏毅2021春机器学习课程】
    99__选修_To_Learn_More___Meta_Learning___Metric_based__1_.mp4 [9.03MB]
    98__选修_To_Learn_More___Meta_Learning___MAML__9_.mp4 [5.54MB]
    97__选修_To_Learn_More___Meta_Learning___MAML__8_.mp4 [4.05MB]
    96__选修_To_Learn_More___Meta_Learning___MAML__7_.mp4 [7.11MB]
    95__选修_To_Learn_More___Meta_Learning___MAML__6_.mp4 [6.41MB]
    94__选修_To_Learn_More___Meta_Learning___MAML__5_.mp4 [12.83MB]
    93__选修_To_Learn_More___Meta_Learning___MAML__4_.mp4 [5.88MB]
    92__选修_To_Learn_More___Meta_Learning___MAML__3_.mp4 [12.35MB]
    91__选修_To_Learn_More___Meta_Learning___MAML__2_.mp4 [6.39MB]
    90__选修_To_Learn_More___Meta_Learning___MAML__1.mp4 [6.45MB]
    89_元学习_Meta_Learning__二____万物皆可_Meta.mp4 [56.98MB]
    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 [73.47MB]
    87__选修_To_Learn_More___Geometry_of_Loss_Surfaces__Conjecture_.mp4 [23.61MB]
    86_神经网络压缩__二____从各种不同的面向來压缩神经网络.mp4 [84.62MB]
    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 [50.76MB]
    84_机器終身学习___二____灾难性遗忘_Catastrophic_Forgetting_.mp4 [56.81MB]
    83_第十二节_机器終身学习___一____为什么今ri的人工智能无法成为天网_灾难性遗忘_Catastrophic_Forgetting_.mp4 [50.23MB]
    82__选修_To_Learn_More___Q_learning__Continuous_Action_.mp4 [12.34MB]
    81__选修_To_Learn_More___Q_learning__Advanced_Tips_.mp4 [37.01MB]
    80__选修_To_Learn_More___Q_learning__Basic_Idea.mp4 [44.89MB]
    79__选修_To_Learn_More___Proximal_Policy_Optimization__PPO_.mp4 [38.86MB]
    78__选修_To_Learn_More___Deep_Reinforcement_Learning.mp4 [105.21MB]
    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 [46.19MB]
    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 [26.59MB]
    75_概述增强式学习__三____Actor_Critic.mp4 [49.30MB]
    74_概述增强式学习__二____Policy_Gradient_与修课心情.mp4 [63.42MB]
    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 [66.47MB]
    72_作业说明_HW11_Domain_Adaptation_作業講解.mp4 [116.91MB]
    71_第九节_概述领域自适应__Domain_Adaptation_.mp4 [56.69MB]
    70_作业说明_HW10_中文版低画质.mp4 [99.30MB]
    69_作业说明_HW9_中文版低画质.mp4 [96.14MB]
    68__选修_To_Learn_More___More_about_Adversarial_Attack__2_2.mp4 [58.84MB]
    67__选修_To_Learn_More___More_about_Adversarial_Attack__1_2.mp4 [29.50MB]
    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 [41.30MB]
    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 [86.59MB]
    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 [83.42MB]
    63_第八节_来自人类的恶意_攻.击___Adversarial_Attack___上____基本概念.mp4 [49.22MB]
    62_作业说明_HW8_中文版低画质.mp4 [49.77MB]
    61_作业说明_HW7_中文版低画质.mp4 [42.20MB]
    60__选修_To_Learn_More___Unsupervised_Learning___Neighbor_Embedding.mp4 [47.41MB]
    59__选修_To_Learn_More___Unsupervised_Learning___Linear_Methods.mp4 [142.13MB]
    58__选修_To_Learn_More___來自獵人暗黑大陸的模型_GPT_3.mp4 [60.59MB]
    57__选修_To_Learn_More___Multilingual_BERT_.mp4 [61.79MB]
    56__选修_To_Learn_More___ELMo__BERT__GPT__XLNet__MASS__BART__UniLM__ELECTRA__others.mp4 [108.35MB]
   
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