Fixed point multi-bit approximate adder based convolutional neural network accelerator for digit classification inference

Approximate computing is a rapidly growing technique to speed up applications with less computational effort while maintaining the accuracy of error-resilient applications such as machine learning and deep learning. Inheritance properties of the machine and deep learning process give freedom for the...

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Bibliographic Details
Published in:Journal of intelligent & fuzzy systems 2020-01, Vol.39 (6), p.8521-8528
Main Authors: Nagarajan, Manikandan, Sasikumar, A., Muralidharan, D., Rajappa, Muthaiah
Format: Article
Language:English
Subjects:
Accuracy
Adding circuits
Artificial neural networks
Circuits
Classification
Computation
Computer networks
Convolution
Deep learning
Errors
Machine learning
Neural networks
Performance evaluation
Power consumption
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