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Last pushed: a day ago
Short Description
TensorFlow 1.3.0 + TensorBoard + Jupyter + Pandas + Pillow & more in docker container for Raspberry
Full Description

Supercharged Machine Learning ToolBox for ARM

A Docker image for ARM devices with Tensorflow 1.3.0 an open source software library for numerical computation using data flow graphs that will let you play and learn distinct Machine Learning techniques over Jupyter Notebook an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and explanatory text. Computational Narratives as the Engine of Collaborative Data Science.

Be aware! You should read carefully the usage documentation of every tool!

Latest Changes

1.3.0

  • Upgraded from Tensorflow 1.2.1 to 1.3.0

1.2.1

Details

Thanks to

My Real Usage Example

In order everyone could take full advantages of the usage of this docker container, I'll describe my own real usage setup.

$ docker run -d -p 8888:8888 elswork/rpi-tensorflow:latest

A more complex sample:

$ docker run -d -p 8888:8888 \
 -p 0.0.0.0:6006:6006 \
 -v ~/myNotebooks:/notebooks/myNotebooks \ 
 --restart=unless-stopped \
 elswork/rpi-tensorflow:latest

Point your browser to http://localhost:8888

First time you open it, you should provide a Token to log on you cand find it with this command:

$ docker logs container_name

With the second example you can run TensorBoard executing this command in the container:

$ tensorboard --logdir=path/to/log-directory --host=0.0.0.0

And pointing your browser to http://localhost:6006

Docker Pull Command
Owner
elswork

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