MACHINE LEARNING

Detailed explanation-1: -Explanation: Activation is sum of wieghted sum of inputs, which gives desired output.. hence output depends on weights.

Detailed explanation-2: -An activation function in a neural network defines how the weighted sum of the input is transformed into an output from a node or nodes in a layer of the network.

Detailed explanation-3: -Introduction The activation function is defined as follows: The activation function calculates a weighted total and then adds bias to it to decide whether a neuron should be activated or not. The Activation Function’s goal is to introduce non-linearity…