Backpropagation in Neural Networks
Backpropagation in Neural Networks Backpropagation is a core algorithm for training neural networks, helping them learn from errors and improve their performance. It is a supervised learning method, which works by adjusting the weights of the network based on the error or loss calculated between the predicted output and the actual target. How Backpropagation Works […]