EMNIST-Classification-MLP-vs-CNN

Comparison of Multilayer Perceptron (MLP) and Convolutional Neural Network (CNN) models for classifying images from the EMNIST dataset.

This repository contains a Jupyter Notebook that compares the performance of a Multi-Layer Perceptron (MLP) and a Convolutional Neural Network (CNN) on the EMNIST dataset for handwritten character classification.

Models Compared

1. MLP (Multi-Layer Perceptron): A feed-forward neural network.
2. CNN (Convolutional Neural Network): A deep learning model typically used for image data.

Dataset

The notebook uses the EMNIST dataset, which is an extension of the MNIST dataset and contains more classes for both digits and letters. The dataset can be downloaded from here.

Prerequisites

To run the notebook, you need the following libraries:

• numpy
• pandas
• tensorflow
• keras
• matplotlib
• seaborn