What is Dropout Rate in Neural Network?

Deep learning has revolutionized artificial intelligence, enabling breakthroughs in computer vision, natural language processing (NLP), and reinforcement learning. However, one of the major challenges in training deep neural networks is overfitting, where a model performs well on training data but fails to generalize to unseen data. To combat overfitting, researchers introduced dropout, a regularization technique … Read more