Q.No.2. The primary task of an artificial neuron is to apply an ______________ to the weightedsum of inputs.

The primary task of an artificial neuron is to apply an activation function to the weighted sum of inputs.

Here are the steps an artificial neuron takes:

1. Each input is multiplied by a weight: The artificial neuron receives inputs which can be a single data point or hundreds of data points. Each of these inputs is multiplied by a weight, which is a measure of the importance of that input in the decision-making process.

2. Summation of weighted inputs: The results of these multiplications (the weighted inputs) are then added together to produce a single number.

3. Application of the activation function: This single number is then passed through an activation function. The purpose of the activation function is to transform the input signal to an output signal and it is used to introduce non-linearity into the output of a neuron. This transformed number is the output of the artificial neuron.

The activation function could be a step function, a sigmoid function, a rectified linear unit (ReLU), or many others. The choice of activation function depends on the specific use case and the characteristics of the input data.