FYI. This paper titled “A Convolutional Neural Network for Modelling Sentences” also mentioned FFT for convolution computation.
Thanks,
Xiaohua
From: lisa_teatalk-bounces@iro.umontreal.ca [mailto:lisa_teatalk-bounces@iro.umontreal.ca] On Behalf Of Ian Goodfellow
Sent: Tuesday, May 27, 2014 1:46 PM
To: Kyung Hyun Cho
Cc: Lisa Labo; lisa_teatalk@iro.umontreal.ca
Subject: Re: [Lisa_teatalk] [Lisa_labo] Tea Talk Tomorrow 28 May @13:00 AA3195 by Guillaume Alain
FFTs have been used to speed up convolution since at least the 1960s. I'm not sure why this isn't done more in the neural nets community, but this year's ICLR paper is not the place where the idea was first proposed.
2014-05-27 13:21 GMT-04:00 Kyung Hyun Cho <cho.k.hyun@gmail.com>:
Dear all,
Guillaume Alain will tell us about the recently proposed technique of using FFT for fast convolutional operation tomorrow. See below for the detail.
See you there!- Cho
============- Speaker: Guillaume Alain
- Date and Time: 28 May 2014 @ 13.00
- Place: AA3195
- Paper to be Discussed: Michael Mathieu, Mikael Henaff, Yann LeCun. Fast Training of Convolutional Networks through FFTs. ICLR 2014
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