Abstract: Deep convolutional neural networks (CNNs) are the state-of-the-art in image classification ... previous studies has proposed a direct mapping of the CNN onto the physical resources of an ...

BIR uses the MobileNet model for initial-level computation for its lower computation power requirement and subsequently the output is fed to the CNN for further processing. A dataset of 1650 WCE ...

A CNN-based image classifier built with PyTorch and FastAPI. Features model training, evaluation metrics, visualizations, and a web interface for real-time predictions. Includes comprehensive ...