Handwritten Digit Recognition Using Deep Learning - Softcover

Kumar, Akshi

Softcover

ISBN 10: 6202024844 ISBN 13: 9786202024846

Verlag: LAP LAMBERT Academic Publishing, 2017

Inhaltsangabe

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.

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Über die Autorin bzw. den Autor

Akshi Kumar is a Ph.D in Computer Engineering from the University of Delhi, Delhi, India and currently working as an Assistant Professor in Department of Computer Science & Engineering at the Delhi Technological University, Delhi, India.

Details zur Ausgabe

• Verlag: LAP LAMBERT Academic Publishing
• Erscheinungsdatum: 2017
• Sprache: Englisch
• ISBN 10: 6202024844
• ISBN 13: 9786202024846
• Einband: Taschenbuch
• Anzahl der Seiten: 80
• Kontakt zum Hersteller: Nicht verfügbar
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