Caffe

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.

Web Page

Official web page

Versions

2017.7

Flavours

default

Architecture

ppc64le

Group
module load site-local-ppc64le