Efficient implementation of activation functions for LSTM accelerators
Activation functions such as hyperbolic tangent (tanh) and logistic sigmoid (sigmoid) are critical computing elements in a long short term memory (LSTM) cell and network. These activation functions are non-linear, leading to challenges in their hardware implementations. Area-efficient and high perf...
Saved in:
Main Authors: | Chong, Yi Sheng, Goh, Wang Ling, Ong, Yew-Soon, Nambiar, Vishnu P., Do, Anh Tuan |
---|---|
Other Authors: | School of Electrical and Electronic Engineering |
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2021
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/153121 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
基于深度学习的 LSTM 模型在 X 荧光光谱中的应用 = Application of an LSTM model based on deep learning through X-ray fluorescence spectroscopy
by: Tang, Lin, et al.
Published: (2024) -
Classification of ECG anomaly with dynamically-biased LSTM for continuous cardiac monitoring
by: Hu, Jinhai, et al.
Published: (2024) -
Skeleton-based human action recognition with global context-aware attention LSTM networks
by: Liu, Jun, et al.
Published: (2020) -
Developing effective optimized machine learning approaches for settlement prediction of shallow foundation
by: Khajehzadeh, Mohammad, et al.
Published: (2024) -
Short-Term photovoltaic power forecasting based on long short term memory neural network and attention mechanism
by: Zhou, H., et al.
Published: (2021)