# CNN regression. help to improve current model [closed]

I have time series grey scale images that show movement of fluid with different densities. I want to predict a pixel value for time t, with (t-3),(t-2),(t-1) 2D images as inputs.

I am figuring out how to use what layers. This is my current basic configuration. I believe this can be vastly improved.

model = Sequential()