Attention

This documentation is under active development, meaning that it can change over time as we refine it. Please email help@massive.org.au if you require assistance, or have suggestions to improve this documentation.

Deep Learning on M3

Software

There are a number of deep learning packages available on M3.

Caffe

To use Caffe on M3:

nvidia-modprobe -u
module load caffe
your-caffe-script-here

Reference datasets

ImageNet

ImageNet is a collection of approximately 14 million annotated images often used to benchmark and test image classification and object detection models. Each image has been categorised according to a WordNet ID, and additional annotations, such as bounding boxes, can be obtained via ImageNet APIs. The dataset is described in full at http://www.image-net.org.

Users can access the Fall 2011 version of the ImageNet database by registering their acceptance of the terms of access.

TensorFlow

To use TensorFlow on M3:

# Loading module
module load tensorflow/1.3.0-python2.7.12-gcc5

# Unloading module
module unload tensorflow/1.3.0-python2.7.12-gcc5