hannel Validation set is (1332, 100, 100, 3) and test set is (1039, 100, 100, 3). I need to reshape the image arrays into 2d value where the format is (batch_no , features). For example, after reshaping train set will be (1

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
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I have a train/valid/test set of RGB images. Training set is (11580, 100, 100, 3) where 11580 is number of images, 100, 100 is the height and width and 3 is the rgb channel

Validation set is (1332, 100, 100, 3) and test set is (1039, 100, 100, 3). I need to reshape the image arrays into 2d value where the format is (batch_no , features). For example, after reshaping train set will be (11580, 10000). Then after reshaping all the sets, I need to create a classification model where we predict all the test set value.

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