![]() The rest of the columns contain the pixel-values of the associated image. ![]() The first column, called “label”, is the digit that was drawn by the user. The training data set, (train.csv), has 785 columns.This pixel-value is an integer between 0 and 255, inclusive. Each pixel has a single pixel-value associated with it, indicating the lightness or darkness of that pixel, with higher numbers meaning darker. Each image is 28 pixels in height and 28 pixels in width, for a total of 784 pixels in total.In Kaggle the dataset contains two files train.csv and data files train.csv and test.csv contain gray-scale images of hand-drawn digits, from zero through nine.I have downloaded the dataset from Kaggle to show how you can use your own dataset to trained your model.The task is to classify a given image of a handwritten digit into one of 10 classes representing integer values from 0 to 9.It is a dataset of 60,000 small square 28×28 pixel grayscale images of handwritten single digits between 0 and 9. ![]()
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