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committedJan 10, 2022
add sample image
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‎articles/machine-learning/tutorial-train-deploy-notebook.md

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@@ -168,6 +168,9 @@ for i in np.random.permutation(X_train.shape[0])[:sample_size]:
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plt.imshow(X_train[i].reshape(28, 28), cmap=plt.cm.Greys)
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plt.show()
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```
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The code above displays random set of images with their labels, similar to this:
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:::image type="content" source="media/tutorial-train-deploy-notebook/image-data-with-labels.png" alt-text="Sample images with their labels.":::
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## Train model and log metrics with MLflow
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