The output, after you run it is a list of numbers. Why do you think this is, and what do those numbers represent?
classifications = model.predict(test_images) print(classifications[0]) 13/313 [==============================] - 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]

Question

The output, after you run it is a list of numbers. Why do you think this is, and what do those numbers represent? 
 classifications = model.predict(test_images) print(classifications[0]) 13/313 [==============================] - 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]

Accepted Answer

It's the probability that this item is each of the 10 classes

Answer

It's 10 random meaningless values

Answer

It's the first 10 classifications that the computer made

Crowdly

The output, after you run it is a list of numbers. Why do you think this is, an...

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