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A Programming/Research Blog by Hiroyuki Vincent Yamazaki

Convolutional Neural Networks, CNN - Preparation

Datasets

There are many tutorials out there but most of them only uses the MNIST dataset available at the homepage of Yann LeCun. Let’s try to be different, and down the rabbit-hole we go.

1-channel grayscale, MNIST

MNIST is a dataset based on National Institute of Standards and Technology, NIST containing a set of handwritten single-digits digits, 60000 for training and another 10000 for testing (testing the trained network model).

The MNIST dataset is well suited for explaining CNNs since it only contains a single channel, i.e. a grayscale where a regular image usually contains three channels defined by the RGB model. We proceed mainly with the RGB model.

3-channel RGB

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