Adding more emphasis on most recent data in CNNs I am using a CNN for multivariate time series analysis. The input size is (batch_size, 500, 30) i.e 30 variables and 500 time steps. I would like to put more emphasis on recent data and less on the past data. 

What is the best way to achieve this?
One approach is to use Keras - sample_weight parameter in fit() method. 

That parameter specifies which steps are more important.