/Image-classification-CNN

Deep learning model using CNN to classify images of fasion items (multiclass classification)

Primary LanguageJupyter Notebook

Image-classification-CNN

This repository contains a Deep Learning project focused on images classification using Convolutional Neural Networks (CNN) with the Fashion MNIST dataset. The project demonstrates how to build a CNN model to classify images of fashion items, such as clothing and shoes.

Used Libraries

  • numpy- pandas- matplotlib- seaborn
  • scikit-learn- tensorflow - keras

Run the project

The repository includes a Jupyter notebook which you can run on your local machine or use Google Colab.

Results

The model predicts a label for an output image (classification task).
Here's a sample of what the results might look like:

Alt text

You can find the complete results in the Jupyter notebook.

Acknowledgements

  • This project is part of ML bootcamp provided by Clarusway.
  • We make use of the Fashion MNIST dataset, which is a publicly available dataset for image classification originally created by Han Xiao, Kashif Rasul, and Roland Vollgraf.