Implementation of Residual Network (ResNet) for Devanagari Handwritten Character Recognition

Author:

Mhapsekar Mandar,Mhapsekar Prathamesh,Mhatre Aniket,Sawant Vinaya

Publisher

Springer Singapore

Reference13 articles.

1. IBM. https://www.ibm.com/ibm/history/exhibits/rochester/rochester_chronology2.html

2. Jayadevan R, Kolhe SR, Patil PM, Pal U (2011) Offline recognition of Devanagari script: a survey. IEEE Trans Syst, Man, Cybern Part C (Appl Rev) 41(6):782–796

3. Wikipedia List of Languages by native speakers in India. https://en.wikipedia.org/wiki/List_of_languages_by_number_of_native_speakers_in_India

4. Acharya S, Pant AK, Gyawali PK (2015) Deep learning based large scale handwritten Devanagari character recognition. In: 2015 9th international conference on software, knowledge, information management and applications (SKIMA), Kathmandu, pp 1–6

5. Residual blocks—Building blocks of ResNet. https://towardsdatascience.com/residual-blocks-building-blocks-of-resnet-fd90ca15d6ec

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