Neural Network with More Hidden Neurons
The traditional model of neural network is called multilayer perceptrons. They are usually made up of a series of interconnected layers. The input layer is where the data enters the network, and the output layer is where the network delivers the output.
The input layer is usually connected to one or more hidden layers, which modify and process the data before it reaches the output layer. The hidden layers are what make neural networks so powerful: they can learn complicated functions that might be difficult for a programmer to specify in code.
In the previous tutorial, we built a neural network with only a couple of hidden neurons. Here, you will implement a neural network by adding more hidden