Difference between revisions of "Caffe"
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== Using Caffe with the HPC cluster == | == Using Caffe with the HPC cluster == | ||
== Documentation == | == Documentation == | ||
Serveral different documentations can be found on the [http://caffe.berkeleyvision.org/ official homepage] of Caffe. | Serveral different documentations can be found on the [http://caffe.berkeleyvision.org/ official homepage] of Caffe. | ||
Revision as of 10:14, 8 February 2018
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
Documentation
Serveral different documentations can be found on the official homepage of Caffe.
