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A from scratch implementation of a Convolutional Neural Network for classification on the DeepSat-6 Dataset which was available on GitHub

Python 100.00%

deepsat-6-implementation's Introduction

DeepSat-6-Implementation

A Tensorflow implementation of a Convolutional Neural Network for classification on the DeepSat-6 Dataset on which was available on Kaggle.

Dataset for running the code : https://www.kaggle.com/crawford/deepsat-sat6

Written in Python 3.6, Tensorflow 1.3.0, CUDA 8. Dependencies

  • Tensorflow-GPU
  • CUDA
  • Numpy
  • CSV
  1. Extract the data archive
  2. Edit the paths to set the train, test data location.
  3. Run CNN_Model.py

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