and because all inputs are densely connected to all of the outputs these type of layers are often called dense layers and let's take an example of how one might actually go from this nice illustration which is very conceptual and and nice and simple to how you could actually implement one of these dense layers from scratch by yourselves using tensor flow so what we can do is start off by first defining our two weights so we have our actual weight vector which is W and we also have our bias vector right both of both of these parameters