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Recognizing Handwritten Digits

bookVisualization

Our dataset consists of various rows, each depicting pixel values on a grey scale ranging from 0 to 255. Let's display a few of these images.

Task

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  1. Extract the feature data (images) from the MNIST dataset and store it in variable X.

  2. Loop through the first 7 images in the dataset and visualize each image using seaborn's heatmap function. Also you need to reshape each image to a 2D array of 28x28 pixels.

Solution

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SectionΒ 1. ChapterΒ 3

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bookVisualization

Our dataset consists of various rows, each depicting pixel values on a grey scale ranging from 0 to 255. Let's display a few of these images.

Task

Swipe to start coding

  1. Extract the feature data (images) from the MNIST dataset and store it in variable X.

  2. Loop through the first 7 images in the dataset and visualize each image using seaborn's heatmap function. Also you need to reshape each image to a 2D array of 28x28 pixels.

Solution

Mark tasks as Completed
Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

SectionΒ 1. ChapterΒ 3
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