Abstract: Approximation ability is one of the most important topics in the field of neural networks (NNs). Feedforward NNs, activated by rectified linear units and some of their specific smoothed ...
Decades ago, Paul Erdős used randomness to illuminate the vast and weird world of networks. Now mathematicians are making his ...
Self-attention networks such as Transformer have become state-of-the-art models for natural language processing (NLP) problems. Softmax function, which serves as a normalizer to produce attention ...
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