论文笔记：Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

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论文笔记：Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks ICML 2017 Paper:https://arxiv.org/pdf/1703.03400.pdf Code for the regression and supervised experiments:https://github.com/cbfinn/maml Code for the RL experiments:https://github.com/cb…

Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks(用于深度网络快速适应的元学习)

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论文笔记-IGCV3：Interleaved Low-Rank Group Convolutions for Efficient Deep Neural Networks

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论文笔记之：Semi-Supervised Learning with Generative Adversarial Networks

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论文笔记：OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks

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（转）Paper list of Meta Learning/ Learning to Learn/ One Shot Learning/ Lifelong Learning

Meta Learning/ Learning to Learn/ One Shot Learning/ Lifelong Learning 2018-08-03 19:16:56 本文转自:https://github.com/floodsung/Meta-Learning-Papers 1 Legacy Papers [1] Nicolas Schweighofer and Kenji Doya. Meta-learning in reinforcement learning. Neural…

什么是 Meta Learning / Learning to Learn ?

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论文笔记(2)：A fast learning algorithm for deep belief nets.

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