Notice: This page requires JavaScript to function properly.
Please enable JavaScript in your browser settings or update your browser.
Visualization | Recognizing Handwritten Digits
Recognizing Handwritten Digits
course content

Contenido del Curso

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.

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.

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

¿Todo estuvo claro?

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
Sección 1. Capítulo 3
AVAILABLE TO ULTIMATE ONLY
We're sorry to hear that something went wrong. What happened?
some-alt