Python for Deep Learning - Build Neural Networks in Python - What is Stochastic Gradient Descent?

The video tutorial discusses the limitations of gradient descent in nonconvex functions due to multiple local minima. It introduces stochastic gradient descent (SGD) as an alternative, highlighting its randomness and efficiency in training time. The tutorial also explains mini-batch gradient descent, which uses a subset of data, offering a balance between SGD and traditional gradient descent.

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