No account yet ?

Mini-batch gradient descent combines the concepts of batch gradient descent and stochastic gradient descent.

It divides the training dataset into small batch sizes and performs updates on each of these batches.

This approach strikes a balance between the computational efficiency of batch gradient descent and the speed of stochastic gradient descent.