Neural Networks: What are they and why do they matter?
A momentum close to 0 emphasizes the gradient, while a value close to 1 emphasizes the last change. A hyperparameter is a constant parameter whose value is set before the…
A momentum close to 0 emphasizes the gradient, while a value close to 1 emphasizes the last change. A hyperparameter is a constant parameter whose value is set before the…