Final-Project-2

This is an individual course project at George Washington University 2019 Spring DATS 6203 Machine Learning II

If you do not want to download the dataset from Kaggle API

Please down the data from https://www.kaggle.com/ikarus777/best-artworks-of-all-time

• sudo unzip best-artworks-of-all-time.zip
• sudo unzip resized.zip
• sudo chmod -R 777 / Then you can start running the code in the suggested sequence below (skip next section).

If you would like to download the dataset from Kaggle API

Please run the following command on the terminal

Give permission to your home directory

• sudo chmod -R 777 /home

Install Kaggle API

• pip install --user kaggle
• mkdir ~/.kaggle (Generate Kaggle API token according to https://github.com/Kaggle/kaggle-api and place it in the above folder) chmod 600 ~/.kaggle/kaggle.json

Create your working directory

• mkdir /home//
• cd /home//

Download Kaggle Dataset and Unzip it

• kaggle datasets download -d ikarus777/best-artworks-of-all-time
• sudo unzip best-artworks-of-all-time.zip
• sudo unzip resized.zip

Give permission to extracted resized folder

• sudo chmod -R 777 /

Set the display

• export DISPLAY=localhost:10.0

Run the code in suggested sequence because they match with the report

0_load_and_proprocess.py 1_cnn_model_learningrate.py 1_cnn_model_minibatch.py 2_cnn_model_2.py 22_cnn_model_2.py 3_cnn_model_3.py 4_cnn_model_4.py 5_cnn_model_5.py