Fast integer approximations in convolutional neural networks using layer-by-layer training

Dmitry Ilin; Elena Limonova; Vladimir Arlazarov; Dmitry Nikolaev

doi:10.1117/12.2268722

17 March 2017 Fast integer approximations in convolutional neural networks using layer-by-layer training

Dmitry Ilin, Elena Limonova, Vladimir Arlazarov, Dmitry Nikolaev

Author Affiliations +

Proceedings Volume 10341, Ninth International Conference on Machine Vision (ICMV 2016); 103410Q (2017) https://doi.org/10.1117/12.2268722
Event: Ninth International Conference on Machine Vision, 2016, Nice, France

Abstract

This paper explores method of layer-by-layer training for neural networks to train neural network, that use approximate calculations and/or low precision data types. Proposed method allows to improve recognition accuracy using standard training algorithms and tools. At the same time, it allows to speed up neural network calculations using fast-processed approximate calculations and compact data types. We consider 8-bit fixed-point arithmetic as the example of such approximation for image recognition problems. In the end, we show significant accuracy increase for considered approximation along with processing speedup.

Citation Download Citation

Dmitry Ilin, Dmitry Ilin, Elena Limonova, Elena Limonova, Vladimir Arlazarov, Vladimir Arlazarov, Dmitry Nikolaev, Dmitry Nikolaev, } "Fast integer approximations in convolutional neural networks using layer-by-layer training", Proc. SPIE 10341, Ninth International Conference on Machine Vision (ICMV 2016), 103410Q (17 March 2017); doi: 10.1117/12.2268722; https://doi.org/10.1117/12.2268722

ACCESS THE FULL ARTICLE

PERSONAL SIGN IN
Full access may be available with your subscription

Email or Username Forgot your username?

Password Forgot your password?

Show

Remember Email/Username on this computer

Remember Password

No SPIE account? Create an account
or Institutional Sign In via Shibboleth

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $14.40

Non-members: $18.00 ADD TO CART

Show All Keywords

Keywords/Phrases

Search In:

Publication Years