This is a collection of images offering a complete TensorFlow + Python 3 development environment in Ubuntu OS with all essential scientific Python packages such as
scipy. All images are built on Python 3.5 + Ubuntu 16.04 LTS environment.
Python 3.5 + Ubuntu 16.04 LTS
Slim images designed to run on standard machines:
v0.12.1- Latest stable TensorFlow
v0.12.1compiled from the source.
v1.0.0rc0- Latest release candidate TensorFlow
v1.0.0-rc0compiled from the source.
Images designed to be used with
v0.12.1-cuda8.0-cudnn5- Latest stable release TensorFlow
v0.12.1compiled against CUDA 8.0 + cuDNN 5
v1.0.0rc0-cuda8.0-cudnn5- Latest release candidate TensorFlow
v1.0.0-rc0compiled against CUDA 8.0 + cuDNN 5
v0.11.0rc0-cuda8.0-cudnn5- Release candidate TensorFlow
v0.11.0rc0compiled against CUDA 8.0 + cuDNN 5
v0.10.0-cuda8.0-cudnn5- Stable release TensorFlow
v0.10.0compiled against CUDA 8.0 + cuDNN 5
v0.10.0rc0-cuda8.0-cudnn5- Previous release candidate TensorFlow
v0.10.0rc0compiled against CUDA 8.0 + cuDNN 5
Makefile to build images can be found at https://github.com/eywalker/tensorflow-jupyter-docker. Please file issue reports and requests on the issue page of GitHub.