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Neural Network for Digit Recognition by Gamar Basuki is a document available to read on EtoBox.

What is Neural Network for Digit Recognition about?

The document describes a case study on number recognition using a neural network. It discusses input units to represent handwritten number images, target units to represent expected number outputs, and a neural network model to perform the recognition. The study aims to extract appropriate features to enable robust classification of numbers despite variations in position, rotation, and scaling, and to build a classifier using a neural network.

Author

Gamar Basuki

Language

EN