Gradient Descent, Deep Learning, Machine Learning, Optimization Techniques, Artificial Intelligence.
Moreover, today’s deepening architectures not only increase the computational burden, they can also suffer from vanishing gradient problems. Recent efforts to tackle the vanishing gradient problem in DNN training have leveraged advanced optimizers such as the adaptive moment estimation (Adam)