Fully connected working better than CNN? about introtodeeplearning HOT 2 CLOSED

This dataset is a very small one 28X28(ie 784 pixels) which is very less as compared to the pictures we use daily.
If you use the same dense network for a 256X256 image, you will see the performance of CNN is far better than a simple fully connected network.
Even in MNIST, with proper optimizer and loss, CNN works slightly better than fully connected.
(Use optimizer='adam', loss='sparse_categorical_crossentropy')

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Echoing @NiranthS's comments. For larger images the difference will be even larger but even for MNIST you should be seeing a fairly large difference already. Your results 8/20 for CNN and 19/20 for Dense indicate that you have an bug in your code for the CNN model or training. I suggest debugging the CNN to see where the error is.

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