2020/6/14 12:27

要旨

Structured Learning Team
This is an online seminer. Registration is required.
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Date: 2020-06-17 15:30-16:30
Speaker:Dr. Matthias Weissenbacher

【Title】Temporally Folded Convolutional Neural Networks for Sequence Forecasting

【Abstract】 In this work we propose a novel approach to utilize convolutional neural networks for time series forecasting. We empirically compare our strategy to LSTM’s and convolutional LSTM’s on their performance on the sequential MNIST and the JSB Chorals dataset, respectively. We conclude that the proposed “temporally folded” CNN’s can outperform the conventional recurrent strategies.

詳細情報

日時 2020/06/17(水) 15:30 - 16:30
URL https://c5dc59ed978213830355fc8978.doorkeeper.jp/events/107699

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last updated on 2020/9/14 15:00研究室