lorenanda/fashion-mnist

Classification of clothes images with ANN and CNN

Classification of clothes using Neural Networks

This project was completed in week 9 of the Data Science Bootcamp at Spiced Academy in Berlin.

Description

I used the Fashion MNIST dataset, which contains 60,000 images of clothing items from 10 categories (e.g. T-shirts, boots, sandals, trousers), and used neural networks models to classify these images in the correct category.

Models

• Artificial Neural Network 88.07% accuracy.
• Convolutional Neural Network 90.69% accuracy.