It's not rocket science, I think you can figure it out. To get started: git clone https://github.com/emilwallner/Screenshot-to-code-in-Keras https://github.com

It's not rocket science, I think you can figure it out. To get started: git clone https://github.com/emilwallner/Screenshot-to-code-in-Keras https://github.com/emilwallner/Screenshot-to-code-in-Keras pip install -U floyd-cli (login to floydhub.com, a super simple platform for cloud GPUs) cd Screenshot-to-code-in-Keras/floydhub floyd init picturetocode floyd run --gpu --env tensorflow-1.4 --data emilwallner/datasets/imagetocode/2:data --mode jupyter Then, navigate to the folder floydhub/Bootstrap/test_model_accuracy.ipynb in your Jupyter Notebook and click on Cell > Run all Now you can see the prediction and the correct markup for all the evaluation images. Ping me on twitter: @emilwallner, if you get stuck.