I would like to calculate constant convolution like blurring or resampling and want it never change during training.
Can I initialize convolution kernel to constant and exclude it from training in Keras?
More specifically, I don't want to use this for purposes declared in the doc. I want to implement residual network this way: one branch does normal trainable convolution, while parallel branch does something constant, like averaging.