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cs.LG2020
Deep Learning Training with Simulated Approximate Multipliers
Issam Hammad, Kamal El-Sankary, Jason Gu
This paper presents by simulation how approximate multipliers can be utilized to enhance the training performance of convolutional neural networks (CNNs). Approximate multipliers h…
cs.LG2019
A Comparative Study on Machine Learning Algorithms for the Control of a Wall Following Robot
Issam Hammad, Kamal El-Sankary, Jason Gu
A comparison of the performance of various machine learning models to predict the direction of a wall following robot is presented in this paper. The models were trained using an o…