Neural_Network

Dataset: MNIST

Model Type: Convolutional Neural Network

Test Accuracy: 98%

Overview:

This project involves a convolutional neural network (CNN) designed to recognize handwritten digits. It utilizes the MNIST dataset, which is a large database of handwritten digits commonly used for training various image processing systems.

Confusion Matrix

Dependencies:

Note

To install the required packages, use the following pip command:

• pip install [package-name]

• Python 3.x

• Torch 2.x

For Visualization:

• Matplotlib

• Mlxtend

• Torchetrics