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Incremental Learning: Deep Neural Networks

EasyChair Preprint 2528

5 pagesDate: February 2, 2020

Abstract

In this research paper, the problem of Incremental Learning is addressed. Based on the idea of extracting features
incrementally using Auto-Encoders, CNNs, Deep Learning architectures  are proposed. Experimental investigations are reported.

Keyphrases: Auto-encoder, Deep Neural Networks, architectures, convolution, incremental learning

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@booklet{EasyChair:2528,
  author    = {Rama Murthy Garimella and Jyothi Prasanna G C and Vidya Sree Vankam and Maha Lakshmi Bairaju and Manasa Jagannadan},
  title     = {Incremental  Learning:  Deep  Neural  Networks},
  howpublished = {EasyChair Preprint 2528},
  year      = {EasyChair, 2020}}
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