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Incremental Learning: Deep Neural Networks

EasyChair Preprint no. 2528

5 pagesDate: February 2, 2020


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

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  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 no. 2528},

  year = {EasyChair, 2020}}
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