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RNNaissance

机译:过夜

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摘要

Our deep learning artificial neural networks have won numerous contests in pattern recognition and machine learning. They are now widely used by the world's most valuable public companies. In particular, Long Short-Term Memory (LSTM) Recurrent Neural Networks (RNNs) are very useful not only for speech recognition but also for Computational Language Learning. I will discuss state-of-the-art results in numerous applications.
机译:我们深入的学习人工神经网络在模式识别和机器学习中赢得了众多比赛。他们现在被世界上最有价值的公共公司广泛使用。特别地,长期内记忆(LSTM)经常性神经网络(RNN)不仅非常有用,不仅用于语音识别,而且非常有用,而且非常有用,而且是为了计算语言学习。我将在众多应用中讨论最先进的结果。

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