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How to improve your deep network accuracy in keras?

I made a deep network which its input is one image with 224224 pixels.The network output is a one image with 224224 pixels.
for Correction of weights in training stage i calculated intensity difference between the pixel by pixel in output image and refrence image, with MSE.
I reached loss=0.0019 and acc=0.3682 after training stage.
I need the help for improve of accuracy.