Multiple sequence behavior recognition on humanoid robot using long short-term memory (LSTM)
Recurrent neural networks (RNN) are powerful sequence learners. However, RNN suffers from the problem of vanishing gradient point. This fact makes learning sequential task more than 10 time steps harder for RNN. Recurrent network with LSTM cells as hidden layers (LSTM-RNN) is a deep learning recurre...
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Main Authors: | , , , |
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Format: | Conference Paper |
Language: | English |
Published: |
2018
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