Next, the demo creates a 4-(8-8)-1 deep neural network. Then the demo prepares training by setting up a loss function (binary cross entropy), a training optimizer function (stochastic gradient descent ...

In the end, rather than treating everything as a binary classification problem, we need to recognize that some problems require more complex deep learning solutions.