Adam is the super star optimization algorithm of Deep Learning. Optimization algorithms aim to find optimum weights, minimize error and … More
Tag: gradient descent
Adaptive Learning in Neural Networks
Gradient descent is one of the most powerful optimizing method. However, learning time is a challange, too. Standard version of gradient … More
Incorporating Momentum Into Neural Networks Learning
Newton’s cradle is the most popular example of momentum conservation. A lifted and released sphere strikes the stationary spheres and … More
