Question

What is the sequence of steps followed in training a perceptron? 1. For a sample input, compute an output 2. Initialize weights of perceptron randomly 3. Go to the next batch of dataset 4. If the prediction does not match the output, change the weights

Answer 1

The correct sequence of steps which followed in training a perceptron are

1. Initialize weights of perceptron randomly.

2. For a sample input, compute an output.

3. If the prediction does not match the output, change the weights

4. Go to the next batch of dataset.

So, the correct sequence of steps followed in training a perceptron is 2, 1, 4, 3.

Answer 2

"In training a perceptron below sequence will be followed:

· It initializes the weights of perceptron in a random manner.

· For a "sample input", compute an "output".

· If the "prediction" does "not match" the output, it will change the weights.

· Then, it will go to the "next batch of dataset".

Perceptron: It is a machine learning algorithm. It is used to classify the number according to the specific class."