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Unsupervised learning
深度学习

Natural Computation Methods for Machine Learning Note 11

Natural Computation Methods for Machine Learning Note 11 Let us firstly revisit completive learning and SOFM Review CL and SOFM A node position (in the input space) is its weight vector, i.e. nodes move around in the same space as the data. Purpose of unsuperv…

2020年3月4日 0条评论 3104点热度 0人点赞 Dong Wang 阅读全文
深度学习

Natural Computation Methods for Machine Learning Note 09

Unsupervised Learning To learn from unlabeled data (only inputs, no target information). Most often for classification. Requires that class membership can be detected by structural properties (features) in the data, and that the learning system can be fund the…

2020年3月2日 0条评论 2951点热度 1人点赞 Dong Wang 阅读全文
深度学习

Natural Computation Methods for Machine Learning Note 02

Neural basics A question, what is AI? Artificial Intelligence: It is not the art of making computers behave as they do in the movies. It is motivated by the brain, but do not overdo it. We always regard it as a black box.  After opening this box, we can see a …

2020年2月4日 0条评论 3942点热度 0人点赞 Dong Wang 阅读全文

Dong Wang

I will work as a PhD student of TU Graz in Austria. My research interests include Embedded/Edge AI, federated learning, computer vision, and IoT.

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