Gravity Optimizer: a Kinematic Approach on Optimization in Deep Learning

Understand

We introduce Gravity, another algorithm for gradient-based optimization.

• In this paper, we explain how our novel idea change parameters to reduce the deep learning model's loss.
• It has three intuitive hyper-parameters that the best values for them are proposed.
• Also, we propose an alternative to moving average.