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深度学习（Deep Learning）. 通常人工智能是指通过普通电脑实现的智能。. 人工智能的研究可以分为几个技术问题。. 其分支领域主要集中在解决具体问题，其中之一是如何使用各种不同的工具完成特定的应用程序。. AI的核心问题包括推理、知识、规划…. 卷友们好 ...
We establish a principle called "backward feature correction", where training higher layers in the network can improve the features of lower level ones. We believe this is the key to understand the deep learning process in multi-layer neural networks. On the technical side, we show for every input dimension d>0, there is a concept class ...
8月29日， 网易云课堂官网推出了吴恩达开设的Deep Learning 课程，并且是带有中文字幕的版本。. 目前，网易是Deeplearning.ai 在国内唯一的官方合作伙伴。. 以后，国内用户可以通过网易云课堂免费学习完整的Deep Learning 课程内容。. 携手吴恩达，人工智能微专业重磅 ...
我这里实名推荐李沐等人写的dive into deep learning； 这本书深入浅出，逻辑清晰，该有的数学推导也不含糊，历史介绍也全面。除了在工业应用（nlp, recommendation）的那几个章节说的稍微有些简单且概括之外（不过到了这一步也应该是自己看paper或者搜索专门的文章），几乎没有啥大问题。
知乎，中文互联网高质量的问答社区和创作者聚集的原创内容平台，于 2011 年 1 月正式上线，以「让人们更好的分享知识、经验和见解，找到自己的解答」为品牌使命。知乎凭借认真、专业、友善的社区氛围、独特的产品机制以及结构化和易获得的优质内容，聚集了中文互联网科技、商业、影视 ...
我没有资格评价这本书，我只能谈谈这本书。. 这本书在写的过程中我也一直在关注，还是残本的时候我就反复看了。. 这本书加上Hinton老爷子的公开课，基本上Deep learning的入门足够了。. 内容全面，而且不啰嗦，干货满满。. 看懂的成本也不高，基本上高年级的 ...
类似于EDL的做法，可以看看早期的D-S证据理论在多标签分类领域的研究文献[1,2,3]，还有近期基于Subjective Opinion的uncertainty estimation文章[4]，看看如何借鉴EDL的做法，用Deep Learning方法估计uncertainty。 Younes, Zoulficar, Fahed Abdallah, and Thierry Denœux. "An evidence-theoretic k-nearest ...
从近五年的论文关键字来看，NeurIPS主要的关注点为强化学习，深度学习，和神经网络。相关关键词包括Reinforcement learning, Deep Learning, Neural Networks, Deep Neural Networks等等。此外例如主动学习，无监督学习，样本复杂度等关键词也占有一定比例。
知乎是一个帮助用户发现问题背后世界的平台，让每一次点击都充满意义。
ICLRは人工知能分野のトップ会議の一つで、深層学習や統計、データ科学などがテーマです。
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