Question: why is sgd faster than gd?
Answer: In both gradient descent (GD) and stochastic gradient descent (SGD), you update a set of parameters in an iterative manner to minimize an error function. ... On the other hand, using SGD will be faster because you use only one training sample and it starts improving itself right away from the first sample.