singlehiddenlayer
A single hidden layer neural network is a type of artificial neural network with one layer of artificial neurons between the input and output layers. This intermediary layer is known as the hidden layer because its outputs are not directly observed. The neurons in the hidden layer receive inputs from the input layer, process them using activation functions, and then pass the results to the output layer.
The architecture of a single hidden layer network consists of an input layer, a single hidden layer,
These networks are capable of learning complex, non-linear relationships between inputs and outputs, making them suitable