Assertion: gradient descent | /r/CapableOf | update the model
Facets:
value: for each examplein
type: LOCATION
Source sentences:
text: Batch gradient descent (BGD): calculate the error for each example in the training dataset, but only updates the model after all training examples have been evaluated.
text: Stochastic gradient descent (SGD) : calculate the error and updates the model for each examplein the training dataset.
text: Batch gradient descent is a variation of the gradient descent algorithm that calculates the error for each example in the training dataset, but only updates the model after all training examples have been evaluated.
text: It basically calculates the error for each sample in the data and updates the model only after the training example has been calculated.