This paper investigates the application of Convolutional Neural Networks (CNNs) in MNIST handwritten digit recognition, with a particular focus on optimizing the ResNet-18 model. By introducing ...

In image classification, identification of handwritten digits forms a simple choreacle especially with datasets such as MNIST that has grown to become a benchmark for testing machine learning models.

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 ...

This project implements a Convolutional Neural Network (CNN) with TensorFlow/Keras to classify handwritten digits from the MNIST dataset. It covers data preprocessing, model training, and evaluation ...