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Bibliographic Details
Main Authors: Sane, Parth, Agrawal, Ravindra
Format: Preprint
Published: 2017
Subjects:
Online Access:https://arxiv.org/abs/1705.01809
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author Sane, Parth
Agrawal, Ravindra
author_facet Sane, Parth
Agrawal, Ravindra
contents Text to image transformation for input to neural networks requires intermediate steps. This paper attempts to present a new approach to pixel normalization so as to convert textual data into image, suitable as input for neural networks. This method can be further improved by its Graphics Processing Unit (GPU) implementation to provide significant speedup in computational time.
format Preprint
id arxiv_https___arxiv_org_abs_1705_01809
institution arXiv
publishDate 2017
record_format arxiv
spellingShingle Pixel Normalization from Numeric Data as Input to Neural Networks
Sane, Parth
Agrawal, Ravindra
Computer Vision and Pattern Recognition
Neural and Evolutionary Computing
Software Engineering
Text to image transformation for input to neural networks requires intermediate steps. This paper attempts to present a new approach to pixel normalization so as to convert textual data into image, suitable as input for neural networks. This method can be further improved by its Graphics Processing Unit (GPU) implementation to provide significant speedup in computational time.
title Pixel Normalization from Numeric Data as Input to Neural Networks
topic Computer Vision and Pattern Recognition
Neural and Evolutionary Computing
Software Engineering
url https://arxiv.org/abs/1705.01809