Architecture of DFN

In the previous chapter, we saw the architecture of a multi-neuron artificial neural network. But, the architecture consisted of only a single layer of neurons. Now think about the brain: does it have a single layer of neurons or multiple layers? Yes, the brain has multiple layers of neurons where the layers are connected one after the other. The inputs coming to the brain pass through an initial layer to extract low-level features and pass through consecutive layers to extract high-level features. The architecture of DFN is inspired by the layered structure of multiple neurons. The network has various layers stacked consecutively where the neuron outputs from previous layers are fed forward as inputs to the next layers (that's why the network is called feedforward network). Three types of layers are present in the architecture-input layer, hidden layer...