Forward Mode Automatic Differentiation
Concept
A mode of automatic differentiation where gradients are computed forward through the computation graph, which is inefficient for machine learning with many parameters.
Mentioned in 1 video
A mode of automatic differentiation where gradients are computed forward through the computation graph, which is inefficient for machine learning with many parameters.