Machine Learning, Gradient Descent, Data Visualization, Data Science.
-learning_rate * gradient / sqrt(sum_of_gradient_squared) theta += delta Step-by-step illustration of AdaGrad descent. Watch live animation in the app. In ML optimization, some features are very sparse. The average gradient for sparse features is usually small so such features get trained at a much