Machine Learning, Gradient Descent, Data Visualization, Data Science.
(for example, the sparse features) to catch up. In visual terms, how much you have updated this feature is to say how much you have moved in this dimension, and this notion is captured by the cumulative sum of gradient squared. Notice how in the step-by-step grid illustration above, without the