Skip to content

Latest commit

 

History

History
6 lines (6 loc) · 470 Bytes

README.md

File metadata and controls

6 lines (6 loc) · 470 Bytes

Autoencoder

INTRODUCTION

This is a keras tensorflow backend model, which 1st reduce dimensions of the input data using convolutional autoencoders. and then by transfer learning reduced dimensions are futher used for classification task

USAGE:

Install keras with tensorflow backend better with gpu then 1st run autoencoder.py then model file will be created which contains saved model the run classifier.py