Handwritten Digit Recognition Using Deep Learning

Language: English

Published by LAP LAMBERT Academic Publishing Sep 2017, 2017

6202024844 / 9786202024846

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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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Softcover

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This item is printed on demand - it takes 3-4 days longer - Neuware -The automated handwritten digit recognition task using supervised learning (classification) has many practical applications such as online handwriting recognition on electronic devices, recognizing postal mail codes for mail sorting, processing bank cheque amounts, and numeric entries in various forms filled manually and so on. Though the task is relatively a simple machine learning task, that is, the input consists of black and white pixels well separated from background which are categorized into output categories but has varied challenges associated.Deep learning can be applied to study multilevel representations of data before proceeding with classification. In the work presented in this book we compare various approaches and their variations to generate an optima set of features which can be used for the classification problem of handwritten digits. 80 pp. Englisch.

Seller Inventory # 9786202024846

Title
Handwritten Digit Recognition Using Deep Learning
Author
Akshi Kumar
Publisher
LAP LAMBERT Academic Publishing Sep 2017
Publication year
2017
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6202024844
ISBN 13
9786202024846
Item weight
137 grams
Dimensions
220x150x5 mm

BuchWeltWeit Ludwig Meier e.K.

Bergisch Gladbach, Germany

5-star seller

AbeBooks seller since January 11, 2012

Shipping rates from Germany to U.S.A.

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BuchWeltWeit Ludwig Meier e.K.

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