Extra Education
← All Machine Learning MCQs questions
1

What are the steps for using a gradient descent algorithm? 1. Calculate error between the actual value and the predicted value 2. Reiterate until you find the best weights of network 3. Pass an input through the network and get values from output layer 4. Initialize random weight and bias 5. Go to each neurons which contributes to the error and change its respective values to reduce the error

Correct Answer: 4, 3, 1, 5, 2

Make the most of this question

This page focuses on one Machine Learning MCQs question from Programming. After checking the answer, return to the topic list to practice more or run a timed set.

← More Machine Learning MCQs MCQsAll Programming topicsMock test hub
Machine Learning MCQs MCQ: What are the steps for using a gradient descent algorithm? 1. Calculate error between the actual value and the predicted value 2. Reiterate until you find the best weights of network 3. Pass an input through the network and get values from output layer 4. Initialize random weight and bias 5. Go to each neurons which contributes to the error and change its respective values to reduce the error | Extra Education