@inbook{903cb2b1c8674999bb4751d0c13b0160,
title = "Deep Dropout Artificial Neural Networks for Recognising Digits and Characters in Natural Images",
abstract = "Recognising images using computers is a traditionally hard problem in computing, and one that becomes particularly difficult when these images are from the real world due to the large variations in them. This paper investigates the problem of recognising digits and characters in natural images using a deep neural network approach. The experiments explore the utilisation of a recently introduced dropout method which reduces overfitting. A number of different configuration networks are trained. It is found that the majority of networks give better accuracy when trained using the dropout method. This indicates that dropout is an effective method to improve training of deep neural networks on the application of recognising natural images of digits and characters.",
keywords = "Character recognition, Natural images, Artificial neural network, Deep learning, Dropout network",
author = "Erik Barrow and Chrisina Jayne and Mark Eastwood",
note = "There is no full text available.; 22nd International Conference on Neural Information Processing (ICONIP2015) ; Conference date: 09-11-2015 Through 12-11-2015",
year = "2015",
month = nov,
day = "18",
doi = "10.1007/978-3-319-26561-2_4",
language = "English",
isbn = "978-3-319-26560-5",
volume = "9492",
series = "Lecture Notes in Computer Science",
publisher = "Springer Verlag",
pages = "29--37",
editor = "Sabri Arik and Tingwen Huang and Lai, {Weng Kin} and Qingshan Liu",
booktitle = "Neural Information Processing",
address = "Austria",
}