https://github.com/asirwad/image-classifier-tensorflow-fashionmnist

👕Image Classifier on Fashionmnist🩳 dataset using custom keras model with 5 hidden dense layers.👟
https://github.com/asirwad/image-classifier-tensorflow-fashionmnist

deep-learning fashion-mnist-dataset keras tensorflow

Last synced: 17 days ago
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👕Image Classifier on Fashionmnist🩳 dataset using custom keras model with 5 hidden dense layers.👟

• Host: GitHub
• URL: https://github.com/asirwad/image-classifier-tensorflow-fashionmnist
• Owner: Asirwad
• Created: 2023-07-23T08:06:38.000Z (over 1 year ago)
• Default Branch: master
• Last Pushed: 2023-07-27T17:09:15.000Z (over 1 year ago)
• Last Synced: 2023-07-27T17:55:13.874Z (over 1 year ago)
• Topics: deep-learning, fashion-mnist-dataset, keras, tensorflow
• Language: Python
• Homepage: https://keras.io/api/datasets/fashion_mnist/
• Size: 499 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Image Classification with TensorFlow Keras on Fashion MNIST Dataset



  



## Overview

This repository contains the code for an image classification project using TensorFlow and Keras on the Fashion MNIST dataset. Fashion MNIST is a popular dataset for beginners in the field of computer vision and deep learning, as it provides a simple and manageable task for image classification.

In this project, we utilize the powerful TensorFlow library along with Keras API to build and train a convolutional neural network (CNN) model to classify images of fashion items into various categories. The goal is to achieve high accuracy in predicting the type of clothing depicted in the images.

## Dataset

The Fashion MNIST dataset consists of 70,000 grayscale images belonging to 10 different classes. Each image is a 28x28 pixel square, representing a fashion item at a low resolution. The dataset is divided into 60,000 training images and 10,000 testing images.

The 10 classes in the dataset are:

| label | description |

|---|---|

| 0 | T-shirt/top |

| 1 | Trouser |

| 2 | Pullover |

| 3 | Dress |

| 4 | Coat |

| 5 | Sandal |

| 6 | Shirt |

| 7 | Sneaker |

| 8 | Bag |

| 9 | Ankle boot |

## Model Architecture



  



## Requirements

Make sure you have the following libraries installed:

- TensorFlow

- NumPy

- Matplotlib

You can install them using the following command:

    `pip install requirement.txt`

## Results

Include information about the achieved accuracy and performance of your model here.

## Conclusion

In this project, we successfully built and trained a CNN model using TensorFlow Keras to classify fashion images from the Fashion MNIST dataset. The model achieved good accuracy in predicting the type of clothing depicted in the images. This project serves as a starting point for more advanced computer vision tasks and deep learning projects.