Conteúdo do 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.
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.
Mude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixoObrigado pelo seu 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.
Mude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo