On the Inductive Bias of Gradient Descent in Deep Learning
Introduction On the Inductive Bias of Gradient Descent in Deep Learning: In the realm of deep learning, gradient descent is a fundamental optimization algorithm used to minimize the loss function of neural networks. The concept of inductive bias refers to the set of assumptions that a learning algorithm makes to generalize beyond the training data. […]