Linear Regression, Gradient Descent, Machine Learning, Deep Learning, Naem Azam.
processing all training samples together It produces a more stable gradient descent convergence and stable error gradient than stochastic gradient descent It is computationally efficient as all computer resources are not being used to process a single sample Batch Gradient Descent Disadvantages