Deep learning II - II Optimization algorithms - Mini-batch gradient descent
Mini-batch gradient descent 1. 用batch gradient descent时，当数据量巨大时，向量化的实现同样很慢，并且需要处理全部数据后，gradient才会得到更新 2. 使用mini-batch gradient descent来训练时，每一个mini-batch都能时gradient得到更新（但不一定都使 L L 下降） 3. mini-batch的大小如
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相关文章
- 1. Deep learning II - II Optimization algorithms - Gradient descent with momentum 动量梯度下降算法
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