Course Content
Recognizing Handwritten Digits
Visualization
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.
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Extract the feature data (images) from the MNIST dataset and store it in variable
X. -
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.
Switch to desktop for real-world practiceContinue from where you are using one of the options belowThanks for your feedback!
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.
Swipe to show code editor
-
Extract the feature data (images) from the MNIST dataset and store it in variable
X. -
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.
Switch to desktop for real-world practiceContinue from where you are using one of the options below