Caffe: Convolutional Architecture for Fast Feature Embedding

ACM Multimedia 2001, pp. 675-678, 2014.

被引用13824|引用|浏览1029|DOI:https://doi.org/10.1145/2647868.2654889
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其它链接dl.acm.org|dblp.uni-trier.de|academic.microsoft.com|arxiv.org

摘要

Caffe provides multimedia scientists and practitioners with a clean and modifiable framework for state-of-the-art deep learning algorithms and a collection of reference models. The framework is a BSD-licensed C++ library with Python and MATLAB bindings for training and deploying general-purpose convolutional neural networks and other deep...更多

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