Gradient Descent is sometimes referred to as Batch Gradient Descent?1 pointTrue False

In Gradient Descent, refers to the magnitude of updates to the parameters, and refers to the direction of updates.

Gradient Descent is an optimization algorithm used for ______

What is correct about stochastic gradient descent? (select all that apply)1 pointThe loss may exhibit sudden increases The loss must be linearIt's an approximation of batch gradient descent

Gradient descent 1 pointoptimizes the weights of a neural networkoptimizes the loss function of a neural networkoptimizes the activation function of a neural networkNone of the above

The ______________ optimization algorithm updates weights more frequently than batch gradient descent by using one training example at a time.