Network architecture-specific hyperparameters 

The hyperparameters that directly deal with the architecture of the deep learning model are called network architecture-specific hyperparameters. The different types of network-specific hyperparameters are as follows:

• Number of hidden layers
• Regularization
• Activation function as hyperparameters

In the following section, we will see how network architecture-specific hyperparameters work.