are governed by the output space so depending on how many neurons you have in that output layer that will govern the size of each of those weight and bias vectors what we can do then is simply define that forward propagation of information so here I'm showing you this to the call function in tensor flow don't get too caught up on the details of the code again you'll get really a walk through of this code inside of the labs today but I want to just show you some some high level understanding of how you could actually take what you're