Deep Layer Neural Network, Deep Learning.
have here that for the input layer n[0] = nx = 3. So that’s the notation we use to describe the number of nodes we have in different layers. For each layer L, we’re also going to use a[l] to denote the activations in layer l. So we’ll see later that in for propagation, you end up computing a[l] as