and we call that the negative phase you can think of the generative adversity all Network training procedure as being almost entirely negative phase the the generator only really learns from the samples it makes and it makes it a little bit like when you carve a statue out of marble you only ever remove things rather than adding things it's it's kind of a unique peculiarity of this particular training process so in the interest of time I think I should move on to the solution to this exercise but I'll continue taking more questions