Skip to content

In this project, we use CNN to classify Fashion MNIST data into different categories.

Notifications You must be signed in to change notification settings

PratikhyaManas/Fashion-Class-Classification

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 

Repository files navigation

Fashion-Class-Classification

PROBLEM STATEMENT

Fashion training set consists of 70,000 images divided into 60,000 training and 10,000 testing samples. Dataset sample consists of 28x28 grayscale image, associated with a label from 10 classes.

The 10 classes are as follows: 0 => T-shirt/top 1 => Trouser 2 => Pullover 3 => Dress 4 => Coat 5 => Sandal 6 => Shirt 7 => Sneaker 8 => Bag 9 => Ankle boot

Each image is 28 pixels in height and 28 pixels in width, for a total of 784 pixels in total. Each pixel has a single pixel-value associated with it, indicating the lightness or darkness of that pixel, with higher numbers meaning darker. This pixel-value is an integer between 0 and 255.

About

In this project, we use CNN to classify Fashion MNIST data into different categories.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published