Name
Title | ||
|---|---|---|
Unified User-Interface and Protocol for Managing Heterogeneous Deep Learning Services. |
Abstract | ||
|---|---|---|
In the last decade, cheaper and more powerful computations have favored a sufficient surge in research and development of applications in the fields of machine and deep learning. Though often varying in approach, these activities aim mostly at solving similar tasks such as speech synthesis, emotion detection, image recognition, mathematical computations etc. Usually, the typical scenario of using designed algorithms/applications includes inputting data represented in some predefined formats and launching a corresponding program tool that produces expected output data as well as analyzing obtained results. These applications are numerous, and are created by different research teams and laboratories using different techniques and environments including locations, interfaces and procedures to access, query and use them. In a collaborative working environment, developing independent user interfaces for each deep learning application could entail a lot of additional development efforts. In the presented paper, we propose a standardized and flexible interface to reduce design efforts, based on integration of various Deep Learning services (DL services). We also demonstrate a protocol for communication between the user interface and the heterogeneous services. This platform will enable developers of deep learning models to be concerned solely with developing and tuning their models, which can be easily plugged into the central user interface, conveniently exposing their services to users who will have homogeneous central access to a wide-range of DL services, from a unified interface. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.3233/978-1-61499-800-6-563 | Frontiers in Artificial Intelligence and Applications |
Keywords | Field | DocType |
User-interface,microservices architecture,communication protocol,deep learning services | Systems engineering,Computer science,Human–computer interaction,Artificial intelligence,Deep learning,User interface,Database | Conference |
Volume | ISSN | Citations |
297 | 0922-6389 | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Absalom Shu | 1 | 0 | 0.34 |
| Konstantin Markov | 2 | 156 | 18.86 |
| Alexander P. Vazhenin | 3 | 85 | 20.06 |
| Ruth Cortez | 4 | 12 | 4.18 |
| Subhash Bhalla | 5 | 300 | 84.64 |
| Shashank Shrestha | 6 | 0 | 0.34 |