hello, i have a question about how to train this model. you see after deconvolution operation there are 5 score-dsn-up. i want to know whether you firstly train every score-dsn-up to look like the original input and then concat the score-dsn-ups to train the final output to look like the original input. i mean whether there are there two training step or you just have one training step
hello, i have a question about how to train this model. you see after deconvolution operation there are 5 score-dsn-up. i want to know whether you firstly train every score-dsn-up to look like the original input and then concat the score-dsn-ups to train the final output to look like the original input. i mean whether there are there two training step or you just have one training step