Code a Deep Neural Network

In last post, we've built a 1-hidden layer neural network with basic functions in python. To generalize and empower our network, in this post, we will build a n-layer neural network to do a binary classification task, in which n is customisable (it is recommended to go over my last introduction of neural network as the basics of theory would not be repeated here). All images created on my own, referred images are source-added. Firstly, weights need to be initialized for different layers. Note that in general, the input is not considered as a layer, but output is.