Abstract: Hand written digit recognition is a fundamental problem, that still exists, in computer vision. The complexity arises due to variation in handwriting styles. This paper uses the MNIST ...

Deep Learning Crash Course: A Hands-On, Project-Based Introduction to Artificial Intelligence is written by Giovanni Volpe, Benjamin Midtvedt, Jesús Pineda, Henrik Klein Moberg, Harshith Bachimanchi, ...

MNIST Digit Classifier - Deep Learning Web Application A handwritten digit classification system using Deep Neural Networks (DNN) deployed as an interactive Streamlit web application.

Abstract: Handwritten digit recognition remains a critical problem in computer vision, with extensive progress achieved for English numerals through benchmarks like MNIST. However, Indic scripts such ...

The project utilizes deep learning techniques and chest X-ray images to identify pneumonia in real-time, providing a fast and efficient tool for medical diagnosis.