Algorithms and circuits for low-power machine learning IC
The world of artificial neural networks is an amazing field inspired by the biological model of learning. Multi layered feed-forward networks require significant human intervention for tuning and shows incredibly slow speeds of processing. An alternative model of a single layer feedforward neural ne...
Saved in:
Main Author: | Thosani, Tejas Hemant |
---|---|
Other Authors: | Arindam Basu |
Format: | Final Year Project |
Language: | English |
Published: |
2017
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/72045 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Algorithms and circuits for low-power machine learning IC
by: Lim, Kelvin Hong Ann
Published: (2018) -
Low power FFT processor IC
by: Loy, Teck Pui.
Published: (2008) -
A low-power accelerometer IC with high sensitivity
by: Wang, Yan Mei
Published: (2015) -
Low power digital multiplier IC design
by: Hu, Qigang
Published: (2022) -
Low power CMOS multiplier IC design
by: Zhang, Wanqing
Published: (2023)