Keyword "BIDIRECTIONAL RECURRENT NEURAL NETWORKS" found in the following publications:

COMPARISON OF THE STRUCTURE, EFFICIENCY,&NBSP;AND SPEED OF OPERATION OF FEEDFORWARD, CONVOLUTIONAL, AND RECURRENT NEURAL NETWORKS
This article examines the efficiency of fully connected, recurrent, and convolutional neural networks in the context ...
Abstract | Full text (PDF)

Research result. Information technologies is included in the scientific database of the RINTs (license agreement No. 765-12/2014 dated 08.12.2014).

Журнал включен в перечень рецензируемых научных изданий, рекомендуемых ВАК

The journal is indexed by the following scientific databases and platforms

Research Result. Research result. Information technologies (ISSN 2518-1092)

The journal materials and website are licensed under Creative Commons «Attribution» 4.0 International.

The Founder: Federal State Autonomous Educational Institution of Higher Education "Belgorod National Research University"The Founder’s address: 85 Pobedy Street, Belgorod, the Belgorod region, 308015, Russia

The Publisher: Federal State Autonomous Educational Institution of HigherEducation "Belgorod National Research University" The Founder’s address:85 Pobedy Street, Belgorod, the Belgorod region, 308015, Russia

Editors Office: chief editor Chernomorets Andrey Alekseevich, e-mail: RR_IT@bsuedu.ru, phone: +7 (4722) 30-13-92.

Registered by the Federal Service for Supervision of Communications, Information Technology and Mass Media (Roskomnadzor)

Certificate

Info letter (Russian)

Have questions?
You can write to us:

✉ Executive Secretary

✉ Site administration

✉ Content manager