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Give Me Your Digits!: Digit Database

Module by: Samuel Kim, Joel Khan, Yung-Seok Kevin Choi. E-mail the authors

Summary: A description of the database used in digit identification.

Give Me Your Digits!: Digit Database

The MNIST database

We used a database as a reference for comparing sample inputs. The database is a modified database from the National Institute of Standards and Technology (MNIST) database of handwritten digits. More specifically, we downloaded the database from http://yann.lecun.com/exdb/mnist/ and converted the database into Matlab format using code from http://www.cs.toronto.edu/~hinton/code/converter.m.

The format of the images in the MNIST database is a 20 by 20 grayscale image centered in a 28 by 28 box using its center of mass. The training set of the database is composed of ~60,000 (5,000 images/dig) images compiled from ~250 writers. The test database is disjoint form the training set and is composed of ~10,000 images (1,000 images/dig). This database was designed by computer scientists for the analyzing of classifiers (identification algorithm).

Figure 1: Image of the training database for the digit ‘0’
Figure 1 (graphics1.jpg)

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Definition of a lens

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A lens is a custom view of the content in the repository. You can think of it as a fancy kind of list that will let you see content through the eyes of organizations and people you trust.

What is in a lens?

Lens makers point to materials (modules and collections), creating a guide that includes their own comments and descriptive tags about the content.

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What are tags? tag icon

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