What are the differences between batch gradient descent, stochastic gradient descent, and mini-batch gradient descent?
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Answer / Shrikant Gupta
Batch gradient descent computes the gradient of the loss function over the entire dataset at each iteration; stochastic gradient descent uses a single data point at each iteration to estimate the gradient; mini-batch gradient descent is a compromise between these two methods, using a small subset (mini-batch) of the data for each update.
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