Tutorial on TensorFlow High Level APIs
The notebooks work with jupyter notebook extensions. Once you access jupyter, before starting the notebook, go on the Nbextensions tab and check the following extensions:
Exercice2ExecuteTimehighlighterTable of Contents (2)
You can then start the notebooks, and you're good to go!
Execute the following commands in the same directory as Dockerfile.
Build image
docker build -t tf2_devoxx19 .
Check image list
docker images
Run
docker run -d -p 8888:8888 -p 6006:6006 tf2_devoxx19
Check container id
docker ps
Next
Open in browser at http://127.0.0.1:8888
To retrieve the token for your notebooks type
docker logs <container_id>
At the end
docker stop <container_id>
Make sure you have Python 3.5 ou 3.6 installed:
python3 --version
If you don’t have it you can download it here.
If you don’t have virtualenv installed type
pip3 install virtualenv
Go the the project root and create the virtual environment and activate it (change python version to 3.5 if you have python 3.5 installed):
virtualenv --python=python3.6 tf2_devoxx19
source ./tf2_devoxx19/bin/activate
Install requirements and launch notebooks:
pip3 install --upgrade -r requirements.txt
jupyter contrib nbextension install --user
jupyter nbextensions_configurator enable --user
jupyter notebook
To exit virtual environment:
deactivate
To remove virtual environment:
rm -rf tf2_devoxx19