Caffe

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Introduction

Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research (BAIR) and by community contributors. Yangqing Jia created the project during his PhD at UC Berkeley. Caffe is released under the BSD 2-Clause license.

Installed version

The currently installed version is 1.0. The full module name is Caffe/1.0-intel-2016b-CUDA-8.0.61-Python-2.7.12.

Using Caffe with the HPC cluster

If you want to use Caffe, you will have to load its corresponding module first. You can do that with the following command:

module load Caffe

This takes a few seconds because Caffe has quite a few dependencies.

Documentation

Serveral different documentations can be found on the official homepage of Caffe.