Artificial Intelligence, Machine Learning, Deep Learning, Neural Networks.
fast, especially on large datasets. However, as we’d expect, there’s a lot of variance in parameter update and convergence. Mini-Batch Gradient Descent This approach is a balance between BGD and SGD. In this approach, instead of taking the entire training data, a small subset (a mini-batch) is