Understanding Gradient Clipping in Deep Learning
Deep learning has revolutionized artificial intelligence, but training neural networks remains a delicate balancing act. One of the most persistent challenges practitioners face is the dreaded exploding gradient problem, where gradients grow exponentially during backpropagation, causing training to become unstable or fail entirely. This is where gradient clipping emerges as an essential technique, acting as … Read more