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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 ...
IEEE

Deep Learning for Handwritten Digit Recognition

Abstract: Handwritten digit recognition plays a crucial role in applications like automated form processing and character recognition software. This study explores how well the traditional K-Nearest ...
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 ...
C&EN

Topological Insulators Boost Ultralow-Power Neuromorphic Spintronics: Advancing Handwritten Digit Recognition with High SOT Efficiency

Institute for Quantum Information & State Key Laboratory of High-Performance Computing, College of Computer, National University of Defense Technology, Changsha 410073, China ...
GitHub

This is a project for handwritten digits recognition system using image recognition deep learning.

First, we are using the full SVHN dataset, this dataset needs to be prepared, it contains multiple classes for folders, etc. the key to dealing with it is to be able to extract the images' ...