classifications = model.predict(test_images)
print(classifications[0]) 313/313 [==============================] - 0s 1ms/step
[4.2657844e-05 1.1480091e-08 7.9595118e-08 3.8553809e-09 3.2112339e-07 6.1442945e-03 2.3537048e-06 4.4682197e-02 3.5381140e-06 9.4912457e-01]

print(test_labels[0]) 9

Question

classifications = model.predict(test_images) 
 print(classifications[0]) 313/313 [==============================] - 0s 1ms/step
[4.2657844e-05 1.1480091e-08 7.9595118e-08 3.8553809e-09 3.2112339e-07 6.1442945e-03 2.3537048e-06 4.4682197e-02 3.5381140e-06 9.4912457e-01] 
 
 print(test_labels[0]) 9

Accepted Answer

The 10th element on the list is the biggest, and the ankle boot is labelled 9

Answer

There's not enough information to answer that question

Answer

The ankle boot is label 9, and there are 0->9 elements in the list

Crowdly

classifications = model.predict(test_images) print(classifications[0]) 313/31...

classifications = model.predict(test_images)

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