Learn how to train a neural network to recognize hand-drawn digits using PyTorch! A fun and beginner-friendly intro to deep ...

Fine-grained image recognition is a challenging area of computer vision that focuses on distinguishing nearly identical subcategories within a broader basic-level category. The task demands the ...

Images generated by artificial intelligence (AI) are often almost indistinguishable from real images to the human eye.

This project explores using Differential Evolution (DE) as an alternative to traditional backpropagation for training neural networks. The algorithm evolves neural network weights for classification ...

In this paper, the problem of recognizing handwritten Bangla characters is addressed. Handwritten character recognition is one of the most practiced tasks in computer vision. Over the past few years ...

📂 captured_images/ → Raw digit images sorted in folders by label (0–9) 📂 img/ → Temporary folder for live predictions 📂 model/ → Saved model (digit_recognizer.pkl) 📄 dataset.csv → Final dataset ...