Gradient Descent, Data Science, Data Visualization, Deep Learning, Machine Learning.
function of a…medium.com MBGD: Computes the gradient of the cost function over small random subsets of the training data (mini batches). Updates the model parameters once per mini-batch. Offers a compromise between the speed of SGD and the stability of BGD. Converges faster than BGD and with less