Calculus, Derivatives, Limits, Machine Learning, Data Science.
optimization and model training. Backpropagation: In deep learning, backpropagation is a technique used to compute gradients of the loss function with respect to the weights of the neural network. This involves recursively applying the chain rule of calculus to propagate errors backward through the