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Training processes every sample individually (online/stochastic SGD). Adding mini-batch gradient descent would improve training stability and allow averaging gradients across a batch before updating weights, which is standard practice.
Training processes every sample individually (online/stochastic SGD). Adding mini-batch gradient descent would improve training stability and allow averaging gradients across a batch before updating weights, which is standard practice.