Tensor-based Polynomial Features Generation for High-order Neural Networks

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F21%3A00353300" target="_blank" >RIV/68407700:21220/21:00353300 - isvavai.cz</a>

Result on the web

<a href="https://doi.org/10.1109/PC52310.2021.9447514" target="_blank" >https://doi.org/10.1109/PC52310.2021.9447514</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/PC52310.2021.9447514" target="_blank" >10.1109/PC52310.2021.9447514</a>

Result language

angličtina

Original language name

Tensor-based Polynomial Features Generation for High-order Neural Networks

Original language description

This paper discusses the methods and algorithms for polynomial features generation. The polynomial features generation is the very first step for the High-order Neural Units evaluation. The algorithms for polynomial features generation based on recursive calls are memory effective; however, these algorithms can not benefit from the modern hardware optimizations for neural networks focused on fast tensor operations on GPUs (Graphic Processing Units) and TPUs (Tensor Processing units). Moreover, the recursive calls with many operations are limiting for the application of automatic differentiation algorithms. That makes the design of a high order neural network with HONU in the later than the first hidden layer challenging. The tensor-based algorithm for polynomial features generation that tries to leverage TPU and GPU hardware architecture is introduced in this paper. The tensor-based algorithm's implementation is tested and compared with a straight-forward recursive algorithm and with SciKit-learn library implementation in Python programming language.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/EF16_019%2F0000826" target="_blank" >EF16_019/0000826: Center of Advanced Aerospace Technology</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year

2021

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of the 23rd International Conference on Process Control

ISBN

978-1-6654-0330-6

ISSN

—

e-ISSN

—

Number of pages

5

Pages from-to

175-179

Publisher name

IEEE

Place of publication

Piscataway

Event location

Štrbské Pleso

Event date

Jun 1, 2021

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000723653400030