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 ...

morocco-weather-nowcasting/ ├── configs/ # Configuration files │ ├── project.yaml # Project-wide settings (ROI, paths) │ └── agent_config.yaml # AI agent configuration ├── data/ # Data directory (not ...

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, ...

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 ...

This repository focuses on handwritten digit recognition using the MNIST dataset. It includes implementations of Logistic Regression, MLP, and LeNet-5 in PyTorch, organized into folders for reports, ...

Ashwini B Yaragall et al., in [9] discussed about Handwritten Character Recognition using deep learning where Convolutional Neural Network (CNN) has been used to train a model and Long Short Term ...