What Are The Benefits Of Mini-batch Gradient Descent?

1.	What Are The Benefits Of Mini-batch Gradient Descent?
Answer» Computationally efficient compared to stochastic GRADIENT descent. Improve generalization by finding flat minima. Improving convergence, by using mini-batches we approximating the gradient of the entire training SET, which MIGHT help to AVOID local minima.

Answer»

Computationally efficient compared to stochastic GRADIENT descent.
Improve generalization by finding flat minima.
Improving convergence, by using mini-batches we approximating the gradient of the entire training SET, which MIGHT help to AVOID local minima.

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