Deep learning method learns its weights through backpropagat…
Deep learning method learns its weights through backpropagation during the optimization. Backpropagation is the algorithm used to train neural networks by computing the gradient of a loss function with respect to the network’s parameters (weights and biases). Stochastic gradient descent (SGD) and Adam methods are widely used for this process. Please match the loss function with each task