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Digit Recognition With Deep Learning — PyTorch Beginner Project

Learn how to build a digit recognition model from scratch using PyTorch! This beginner-friendly deep learning project walks you through loading the MNIST dataset, creating a neural network, training ...
Frontiers

The impact of teachers' teaching strategies on students' deep learning in online learning environments: the mediating role of learning interaction

Introduction: The COVID-19 pandemic accelerated global online education, which faces “shallow learning” challenges. Deep learning is key to student competencies. Based on sociocultural theory, this ...
IEEE

Optimizing Deep Learning on Sustainable Embedded Systems: A Study of Handwritten Digit Recognition with CNN and OpenCV

Abstract: This senior thesis develops a real-time handwritten digit identification system using a Raspberry Pi 3B+ with a camera module, leveraging a lightweight CNN optimized with MNIST. The project ...
GitHub

A Deep Learning project for handwritten digit recognition using CNN and TensorFlow

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 TensorFlow, trained in Google Colab, and ...
GitHub

Handwritten Digit Classification using CNN

A deep learning project that classifies handwritten digits (0–9) using a Convolutional Neural Network (CNN) trained on the MNIST dataset. This project demonstrates the power of CNNs in solving image ...