Tool environment

• python 3.7.0
• numpy 1.15.0
• sklearn 0.0

##File structure We have total 2 files : classification.py , mnist_reader.py and an empty folder "data/fashion" storing data set.

How to use

use the following command to download the data set from github

git clone [email protected]:zalandoresearch/fashion-mnist.git

then,move the totally 4 training and testing files to the "data/fashion" from where our program will read these files. The mnist_reader is responsible to read and parse .gz files from that destination

finally,run our main classification file

python3 classification.py

##Result The result predicts the 10000 testing data