Enhanced LeNet-5 for MNIST digit classification with minor modifications like dropout for better generalization and OneCycleLR training. High-accuracy baseline for handwritten digit recognition and ...
The goal of this project is to classify handwritten digits (0–9) using the KNN algorithm and analyze how different values of K affect model performance. The project uses the Sklearn Digits dataset, ...
Abstract: Sign language (SL) is a language that presented through hand signs and gestures as a form of communication for the deaf community. Due to the lack of SL understanding in society, there is ...
Abstract: This paper investigates the optimal operational range for a hardware-accelerated digit classification system leveraging Reconfigurable Architecture for Neuromorphic Computing (RANC) ...