This project forked from ralmohsen/osraae
Open-set Recognition with Adversarial Autoencoders
Open-set Recognition with Adversarial Autoencoders
A deep learning approach to solving the problem of open-set recognition, by leveraging an encoder-decoder network architecture in conjunction with a multi-class classifier. The network enables learning a novelty detector that computes the probability of a sample to belong to one of the known classes versus being unknown. If known, the multi-class classifiers assigns the class label to the sample.
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A declarative, efficient, and flexible JavaScript library for building user interfaces.
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An Open Source Machine Learning Framework for Everyone
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The Web framework for perfectionists with deadlines.
Laravel
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Bring data to life with SVG, Canvas and HTML. 📊📈🎉
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Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
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