Q. What are the steps for using a gradient descent algorithm?1)Calculate error between the actual value and the predicted value2)Reiterate until you find the best weights of network3)Pass an input through the network and get values from output layer4)Initialize random weight and bias5)Go to each neurons which contributes to the error and change its respective values to reduce the error (Solved)
1. 1, 2, 3, 4, 5
2. 4, 3, 1, 5, 2
3. 3, 2, 1, 5, 4
4. 5, 4, 3, 2, 1
- b. 4, 3, 1, 5, 2