Deep Layer Neural Network, Deep Learning.
is also the activations of layer zero, so a[0] = x, and the activation of the final layer, a[L] = y-hat. So a[L] is equal to the predicted output to prediction y-hat to the neural network. Summary So you now know what a deep neural network looks like, as was the notation we’ll use to describe and