ml_summerschool

Notebooks used for DEEP LEARNING FOR NLP & ARGUMENT MINING workshop at http://ml-school.uni-koeln.de.

Setup Commands

Download and startup docker container:

• docker pull tensorflow/tensorflow:latest-py3-jupyter

• docker run -it -v [your_local_workspace]:/tf -p [local_port]:8888 tensorflow/tensorflow:latest-py3-jupyter, e.g. docker run -it -v ~/workspace/p1:/tf -p 8888:8888 tensorflow/tensorflow:latest-py3-jupyter

Start Jupyter Notebook:

• http://localhost:[local_port]/?token=[token_shown_on_cmdline], e.g. http://localhost:8888/?token=2b72d3a948dfe5005aa59806c86eb1e339355e79da57eff

Access the container shell:

• docker ps to get the id of running containers

• docker exec -it [id_of_container] /bin/bash