李宏毅2021春机器课程视频40李宏毅2021春机器学习课程
1 文件名称： 李宏毅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：【李宏毅2021春机器学习课程】目录：【李宏毅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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