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Transfer Learning:Approaches and Methodologies

Swati Sucharita Barik1 , Mamata Garanayak2 , Sasmita Kumari Nayak3

Section:Survey Paper, Product Type: Journal Paper
Volume-7 , Issue-6 , Page no. 852-855, Jun-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i6.852855

Online published on Jun 30, 2019

Copyright © Swati Sucharita Barik, Mamata Garanayak, Sasmita Kumari Nayak . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Swati Sucharita Barik, Mamata Garanayak, Sasmita Kumari Nayak, “Transfer Learning:Approaches and Methodologies,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.6, pp.852-855, 2019.

MLA Style Citation: Swati Sucharita Barik, Mamata Garanayak, Sasmita Kumari Nayak "Transfer Learning:Approaches and Methodologies." International Journal of Computer Sciences and Engineering 7.6 (2019): 852-855.

APA Style Citation: Swati Sucharita Barik, Mamata Garanayak, Sasmita Kumari Nayak, (2019). Transfer Learning:Approaches and Methodologies. International Journal of Computer Sciences and Engineering, 7(6), 852-855.

BibTex Style Citation:
@article{Barik_2019,
author = {Swati Sucharita Barik, Mamata Garanayak, Sasmita Kumari Nayak},
title = {Transfer Learning:Approaches and Methodologies},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {6 2019},
volume = {7},
Issue = {6},
month = {6},
year = {2019},
issn = {2347-2693},
pages = {852-855},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4642},
doi = {https://doi.org/10.26438/ijcse/v7i6.852855}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i6.852855}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4642
TI - Transfer Learning:Approaches and Methodologies
T2 - International Journal of Computer Sciences and Engineering
AU - Swati Sucharita Barik, Mamata Garanayak, Sasmita Kumari Nayak
PY - 2019
DA - 2019/06/30
PB - IJCSE, Indore, INDIA
SP - 852-855
IS - 6
VL - 7
SN - 2347-2693
ER -

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Abstract

Machine learning and Data Mining Techniques are mainly used for many Real world problems. The traditional methods include training the data and test .But it will not be applicable for real world scenario. Some of the reason may be the cost of training data and inability to get those. These drawbacks are giving rise to the concept known as Transfer Learning.It ensures that training data must be independent and distributed identically.Transfer Learning is considered as a solution to the insufficient training data.

Key-Words / Index Term

Data Mining, Transfer Learning, Machine Learning

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