Hi, I have been working on the second ML with Python Projects Cats and Dogs. So far everything seems to work. However, when I reach the point/cell of model.predict() I feel like something is not working correctly.
I trained the model and now I want to grap the test set and get the predictions so I use:
model.evaluate(test_data_gen) - In the output there is only this response 1/1 which I think that it takes only one test image instead of 50?! Not sure about this information.
And I get this output for this cell:
1/1 [==============================] - 0s 232ms/step - loss: 0.0000e+00 - accuracy: 0.0000e+00 [0.0, 0.0]
Also the transformation to a list is missing but I guess the above problem should be resolved first?!
Would be really great to clarify that or any hint would be very nice.
You can find my colab here: Google Colab