So now that we have the structure for one neuron, it's time to build a neural network. A neural network, just like a neuron, has three parts:
- The input layer
- The output layer
- The hidden layers
The following diagram should help you visualize the structure better:
Usually, we have many hidden layers with hundreds and thousands of functions, but here, we have just two hidden layers: one with one neuron and the second with three neurons.
The first layer will give us one output that is achieved after multiplying by the activation function. By applying different values of weights to this, we can produce three different ...
