Machine Learning, Data Science, Artificial Intelligence, Data, Deep Learning.
improvement. A disadvantage is that the frequent updates are more computationally expensive than Batch Gradient Descent. The frequency of the updates also can result in noisy gradients, and may cause the error rate to fluctuate instead of slowly decrease. Mini Batch Gradient Descent Mini Batch