Backpropagation is a fundamental algorithm for training Neural Networks. It efficiently calculates the Gradient of the loss function, allowing for the iterative adjustment of network weights to minimize error in Machine Learning models.
Backpropagation is a fundamental algorithm for training Neural Networks. It efficiently calculates the Gradient of the loss function, allowing for the iterative adjustment of network weights to minimize error in Machine Learning models.