Understanding Feature Selection and Feature Memorization in Recurrent Neural Networks

3 Mar 2019Bokang ZhuRichong ZhangDingkun LongYongyi Mao

In this paper, we propose a test, called Flagged-1-Bit (F1B) test, to study the intrinsic capability of recurrent neural networks in sequence learning. Four different recurrent network models are studied both analytically and experimentally using this test... (read more)

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