Assertion: gradient descent | /r/CapableOf | steer local minimum
Facets:
value: in the example
type: TEMPORAL
Source sentences:
text: I've also heard that stochastic gradient descent is more reliable than gradient descent at finding global minimums, but I don't know how using the training data in batches rather than all at once allows it to steer around local minimum in the example, which is clearly steeper than the path to the global minimum behind it.