IEEE

On-Chip Hardware Training: Implementation of Backpropagation for Parameter Fine-Tuning of Deep Neural Networks

Abstract: On-chip training is a promising approach for enabling efficient machine learning in localized environments, offering advantages such as reduced dependence on cloud infrastructure, support ...
IEEE

On-Chip Implementation of Neural Network-Based Classifier Models for E-Nose With Chemometric Analysis

Abstract: The present work focuses on the comprehensive implementation of gas/mixture identification employing chemometric analysis followed by on-chip realization. The chemometric analysis has been ...