Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...

MNIST Digit Recognition with PyTorch This is a "Hello World" program in the field of artificial intelligence (AI) and deep learning, written for learning purposes. This repository contains a complete ...

🧠 Handwritten Digit Recognition using Deep Learning This project implements a CNN-based image classification model using the MNIST dataset to recognize handwritten digits from 0 to 9. It is built ...

Using AI to support project-based learning (PBL) ensures that students have access to high-quality tools and to use them well.

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

Handwritten Roman characters and numbers have been intensively examined in the past several decades, with satisfactory results. The Devanagari script, however, does not fit this description. One of ...