梯度下降 之 优化算法（上）
date_range 13/09/2018 15:02
尽管梯度下降可以帮助我们更快地寻找到模型的最优解，但是，仍然面对诸多问题。解决这些问题的方法，被称为梯度下降优化方法。本文将详述流行的梯度下降优化方法。
How Tensorboard Smooth
date_range 08/06/2018 00:47
Currently, I find if I use a smooth window then I’ll get a better result than tensorflow smooth function. So I deep into the smooth function of tensorboard.
Machine Learning Methods For Solving Assignment Problems In Multiple Traget Tracking
date_range 01/06/2018 02:02
Data association and track-to-track association, two fundamental problems in single-sensor and multi-sensor multi-target tracking, are instances of an NP-hard combination optimization problem known as the multidimensional assignment problem (MDAP).