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Visualization | Recognizing Handwritten Digits
Recognizing Handwritten Digits
course content

Contenido del Curso

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.

Tarea

  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.

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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.

Tarea

  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.

Mark tasks as Completed
Switch to desktopCambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones
Sección 1. Capítulo 3
AVAILABLE TO ULTIMATE ONLY
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