Backpropagation in a Network [closed]

1. What happens during back propagation in a neural network?
2. What are general limitations of back propagation rule?
3. Is there backpropagation in feed-forward network?

What happens during back propagation in a neural network?

Backpropagation is a process involved in training a neural network. It involves taking the error rate of a forward propagation and feeding this loss backward through the neural network layers to fine-tune the weights. Backpropagation is the essence of neural net training.

What are general limitations of back propagation rule?

One of the major disadvantages of the backpropagation learning rule is its ability to get stuck in local minima. The error is a function of all the weights in a multidimensional space.

Is there backpropagation in feed-forward network?

Feed-Forward Back Propagation Network (FFBPN)'s main use is to learn and map the relationships between inputs and outputs. In addition, the FFBPN learning rule is used to adjust a system's weight values and threshold values to achieve the minimum error [17].