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god_is_my_father t1_itbdyu3 wrote

There is a fundamental problem. Try having it predict an image after zero examples. This should give you a noisy image from the randomized seed. Then try after 100 examples, 1000, 10,000, etc. My guess is your input images are incorrect so it’s learning to predict all 0s or black. Is the accuracy super high?

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thhvancouver OP t1_itbezei wrote

I’m trying not to convert the images into numpy arrays before having the models loop through them. I think that could be causing the problem.

As for accuracy, I don’t think so? 99%

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god_is_my_father t1_itbg9z5 wrote

You don’t think 99% is a super high accuracy?

Your input has to match what the model is expecting. It sounds like this is your problem

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