Python Natural Language Processing

The basic architecture of DNN

In this section, we will see the architecture of a DNN. The pictorial representation looks very simple and is defined with some cool mathematical formulas in the form of activation function, activation function for hidden layer, loss function, and so on. In Figure 9.41, you can see the basic architecture of a DNN:

Figure 9.41: Architecture of DNN (Image credit: https://cdn-images-1.medium.com/max/800/1*5egrX--WuyrLA7gBEXdg5A.png)

Now why are we using a multi-layer deep neural network, are there any certain reasons for this, and what is the significance of having many layers?

Let me explain why we are using multi-layer ...