User Assistance in Android Platform Using Tensorflow

Authors(2) :-Dr. Yuvaraju B.N, Veena M

Technology is making life easier. While the requirement currently is how the technology will be smarter in reducing the involvement of humans for decision making, recognizing or classifying. With the advent of mobile phones not only communication but user assistance which means the smart applications that can ease out day to day activities also witnessed an evolution. Android being one of the most preferred operating systems for mobiles has revolutionized this aspect. Machine learning which the most trending technique of Artificial intelligence is is essential in making this true. Machine learning platforms compatible with android have realized several possibilities of user convenient applications and also have paved a way for infinite innovations. In this paper we explain how TensorFlow one of the machine learning platform combined with android can be employed for error code detection in thermostats. We mostly focus on the deep learning mechanisms being implemented in TensorFlow.

Authors and Affiliations

Dr. Yuvaraju B.N
Professor, Computer Science & Engineering, The National Institute of Engineering (NIE), Mysuru, Karnataka, India
Veena M
Computer Science & Engineering, The National Institute of Engineering (NIE), Mysuru, Karnataka, India

Machine learning, Tensor flow.

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Publication Details

Published in : Volume 4 | Issue 6 | May-June 2018
Date of Publication : 2018-05-08
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 332-337
Manuscript Number : CSEIT184663
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Dr. Yuvaraju B.N, Veena M, "User Assistance in Android Platform Using Tensorflow", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 4, Issue 6, pp.332-337, May-June-2018.
Journal URL : http://ijsrcseit.com/CSEIT184663

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