What is momentum AI?

Momentum AI does automatic feature engineering. This helps data scientists to stay focused on improving the model accuracy. You can also perform feature engineering using box plotting, Pearson’s Chi-squared, and correlation coefficients.

What is momentum algorithm?

Momentum is an extension to the gradient descent optimization algorithm that allows the search to build inertia in a direction in the search space and overcome the oscillations of noisy gradients and coast across flat spots of the search space. In this tutorial, you will discover the gradient descent with momentum algorithm.

What is momentum in deep learning?

Momentum was designed to speed up learning in directions of low curvature, without becoming unstable in directions of high curvature. In deep learning, most practitioners set the value of momentum to 0.9 without attempting to further tune this hyperparameter (i.e., this is the default value for momentum in many popular deep learning packages).

What is momentum based on?

This change is based on the metaphor of momentum from physics where acceleration in a direction can be accumulated from past updates. The name momentum derives from a physical analogy, in which the negative gradient is a force moving a particle through parameter space, according to Newton’s laws of motion. — Page 296, Deep Learning, 2016.