What do the gradients of backpropagation compute?

• Loss Function

• Profit Function

• Positive Function

• Negative Function

Which rule is followed by the Backpropagation algorithm?

• Static Rule

• None

• Dynamic Rule

• Chain Rule

Error rates are reduced in backpropagation due to _____________?

• Proper Tuning

• Iteration

• Generalization

• Improper Tuning

How many layers does the backpropagation algorithm consist of?

• Zero

• Two

• Three

• One

Which is not the layer of the Backpropagation algorithm?

• Input Layer

• Output Layer

• Hidden Layer

• Intermediate Layer

Weights in backpropagation algorithms are updated _____________?

• Forward

• Backward

• a & b

• None

What happens to the Cost function when it meets the termination condition?

• Maximize

• Minimize

• Increase

• Enhance

Backpropagation can minimize ___________?

• Profit Function

• Positive Function

• Cost Function

• Negative Function

What adjusts the parameters of models in neural networks?

• Backpropagation

• Channel Propagation

• Signal Propagation

• Front Propagation

What is the role of the learning rate in the backpropagation process?

• To set the number of epochs

• To calculate the loss

• To adjust the number of layers

• To determine the speed of convergence