/fashion-MNIST

A classifier based on fashion MNIST dataset for humans 🧥

Primary LanguagePython

Attire Recognition 🧥

This code helps you classify different clothing attire using softmax regression.

Code Requirements 🦄

You can install Conda for python which resolves all the dependencies for machine learning.

Description 👕

Softmax Regression (synonyms: Multinomial Logistic, Maximum Entropy Classifier, or just Multi-class Logistic Regression) is a generalization of logistic regression that we can use for multi-class classification (under the assumption that the classes are mutually exclusive). In contrast, we use the (standard) Logistic Regression model in binary classification tasks.

For more information, see

Python Implementation 👨‍🔬

  1. Dataset- fashiom MNIST dataset
  2. Images of size 28 X 28
  3. Classify clothes :
    • T - shirt / top
    • Trouser
    • Pullover
    • Dress
    • Coat
    • Sandal
    • Shirt
    • Sneaker
    • Bag
    • Ankleboot

Algorithms 🧵

  • Logistic Regression
  • Shallow Network
  • Deep Network.

Execution 🐉

To run the code, type python fashion.py

python fashion.py