What is a mini-batch stochastic gradient descent?
A gradient descent algorithm that uses mini-batches.
mini-batch stochastic gradient descent explained in plain English
A gradient descent algorithm that uses mini-batches. In other words, mini-batch stochastic gradient descent estimates the gradient based on a small subset of the training data. Regular stochastic gradient descent uses a mini-batch of size 1.
Example
Practitioners refer to mini-batch stochastic gradient descent when building, training, or evaluating machine learning systems. It appears in research papers, product documentation, and technical discussions about AI capabilities and limitations.
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