Each line of train_set_x_orig and test_set_x_orig is an array representing an image. we can visualize an example by running the following code. Please feel free to change the index and re-run to see other images
# Example of a picture
index = 50
plt.imshow(train_set_x_orig[index]) # You should see a cat image
y = train_set_y[:, index]
y_class = classes[np.squeeze(train_set_y[:, index])].decode("utf-8")
print(y)
print(y_class)
Note - Having trouble with the assessment engine? Follow the steps listed here
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