What are different layers in neural networks?

Ans: Basically, there are 3 different types of layers in a neural network:

1. Input Layer

It is a layer where all the inputs are fed to the Neural Network or model.

2. Hidden Layers

Hidden Layers are the layers which are in between input and output layers which are used for processing inputs. A Neural Network can have more than one Hidden layer.

3. Output Layer

It is the Last layer of the Neural Network. It takes the information from Hidden layers after data processing. Thus, the processed data is made available at output layer.