File: convolution.md

package info (click to toggle)
caffe-contrib 1.0.0%2Bgit20180821.99bd997-2
  • links: PTS, VCS
  • area: contrib
  • in suites: buster
  • size: 16,244 kB
  • sloc: cpp: 61,579; python: 5,783; makefile: 586; sh: 562
file content (13 lines) | stat: -rw-r--r-- 683 bytes parent folder | download | duplicates (5)
1
2
3
4
5
6
7
8
9
10
11
12
13
---
title: Convolution
---
# Caffeinated Convolution

The Caffe strategy for convolution is to reduce the problem to matrix-matrix multiplication.
This linear algebra computation is highly-tuned in BLAS libraries and efficiently computed on GPU devices.

For more details read Yangqing's [Convolution in Caffe: a memo](https://github.com/Yangqing/caffe/wiki/Convolution-in-Caffe:-a-memo).

As it turns out, this same reduction was independently explored in the context of conv. nets by

> K. Chellapilla, S. Puri, P. Simard, et al. High performance convolutional neural networks for document processing. In Tenth International Workshop on Frontiers in Handwriting Recognition, 2006.