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Last pushed: 8 months ago
Short Description
Brocade Deep Learning Container (BDLC)
Full Description

--Image Specifications--

This is what you get out of the box when you create a container with the provided image :

Ubuntu 14.04
CUDA 7.5 (GPU version only)
cuDNN v4 (GPU version only)
Tensorflow
Caffe
Theano
Keras
Torch (includes nn, cutorch, cunn and cuDNN bindings)
iPython/Jupyter Notebook (including iTorch kernel)
Numpy, SciPy, Pandas, Scikit Learn, Matplotlib
A few common libraries used for deep learning

Creating a container from the image :

Start Jupyter :

To start the Jupyter package when creating a container from the image, issue the following command :

docker run networkn3rd/bdlc:0.2-cpu jupyter notebook

Using this image as a base image :

You can also use this this image as a base image for deploying your own code of experiments that rely on the dependencies included in this image by using the well known Dockerfile semantics :

from networkn3rd/bdlc:<tag>

Docker Pull Command
Owner
networkn3rd

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