HIERARCHICAL MULTISCALE RECURRENT NEURAL NETWORKS
作者：Junyoung Chung, Sungjin Ahn & Yoshua Bengio 論文獲取：https://arxiv.org/abs/1609.01704 這篇提出的分層多尺度遞歸神經網絡（HM-RNN），主要是從具有時間信息的原始數據中學習到層次結構而不用人爲設置顯式邊界信息，也就是說提出的這個模型可以自適應時間尺度。 摘要：在本文中，我們提出了一種新的多尺度方法，稱爲分層多尺度遞
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相關文章
- 1. Hierarchical Recurrent Neural Networks for Audio Super-Resolution
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