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Efficient Sampled Softmax for Tensorflow

2020-04-10 · Maciej Skorski

This short paper discusses an efficient implementation of \emph{sampled softmax loss} for Tensorflow. The speedup over the default implementation is achieved due to simplification of the graph for the forward and backward passes.

📄 PDF Abstract BibTeX arXiv:2004.05244

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Methods 이 논문이 사용한 방법론

Softmax The Softmax output function transforms a previous layer's output into a vector of probabilities. It is commonly used for multiclass classification. Given an input vector $x$…

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