Pixel Normalization from Numeric Data as Input to Neural Networks
Fuente:
arXiv
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| Autori principali: | , |
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| Natura: | Preprint |
| Pubblicazione: |
2017
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| Soggetti: | |
| Accesso online: | |
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| _version_ | 1866917587781156864 |
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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 |