Data Science, Machine Learning, Deep Learning, Calculus, Mathematics.
Network In neural networks, the backpropagation algorithm relies on calculus to compute gradients of the loss function with respect to the network’s weights and biases. This information is crucial for adjusting the network’s parameters during training, allowing it to learn and make better