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.
Tarefa
- 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.
Tarefa
- 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.
Mark tasks as Completed
Mude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixoTudo estava 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.
Tarefa
- 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.
Mark tasks as Completed
Mude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixoSeção 1. Capítulo 3
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