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When you fit a learning method to training dataset, you're probably using gradie. Below are the various playlist created on ml,data science and deep learning. This video is part of the udacity course "deep learning".
Works best when there is an abundan. Even though stochastic gradient descent sounds fancy, it is just a simple addition to "regular" descent. In this post i’ll talk about simple addition to classic sgd algorithm, called momentum which almost always works better and faster than stochastic gradient d.
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Gradient descent is the workhorse behind most of machine learning. Large scale machine learning stochastic gradient descent.