Energy-Efficient LSTM Networks for Online Learning

Volume: 31, Issue: 8, Pages: 3114 - 3126
Published: Aug 1, 2020
Abstract
We investigate variable-length data regression in an online setting and introduce an energy-efficient regression structure build on long short-term memory (LSTM) networks. For this structure, we also introduce highly effective online training algorithms. We first provide a generic LSTM-based regression structure for variable-length input sequences. To reduce the complexity of this structure, we then replace the regular multiplication operations...
Paper Details
Title
Energy-Efficient LSTM Networks for Online Learning
Published Date
Aug 1, 2020
Volume
31
Issue
8
Pages
3114 - 3126
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