Question - What are the steps to be followed to use the gradient descent algorithm?
Answer -
There are five main steps that are used to initialize and use the gradient descent algorithm:
- Initialize biases and weights for the network
- Send input data through the network (the input layer)
- Calculate the difference (the error) between expected and predicted values
- Change values in neurons to minimize the loss function
- Multiple iterations to determine the best weights for efficient working