It's time to build a neural network, with one hidden layer. You will see that there is no big difference between this model and logistic regression

In the previous tutorial, we initialized our model parameters. In this part we'll for this we'll use cache computed during the forward propagation

In this tutorial part, we'll write backward propagation and parameters update function using cache computed during the forward propagation

So we came to the last tutorial part where we'll build our final neural network model. To do that we'll use previous functions in the right order