Welcome to the community, @RohitKamalV!

In addition to @pastorsoto’s great answer:

It describes the exponent e.g. used in a logistic regression task; or let’s say:

- x: the
**input of a sigmoid function**, - b: the bias
- w: the weight(s)

where w and b are the model parameters that are learned within model training.

But dependent on your model you can also interpret this term as the cell body of a neuron within a larger neuron network (e.g. at a output layer of a binary classification problem):

Here also a visual interpretation possibility with a neuron where you can think of **f as a sigmoid function**, representing a nonlinear activation function of this layer:

Source: Choice of activation function - #8 by Christian_Simonis

Best regards

Christian