Adding Common Sense to Machine Learning with TensorFlow Lattice
The Unofficial Google Data Science Blog
NOVEMBER 17, 2020
The first is that they are straightforward to optimize using traditional gradient-based optimizers as long as we pre-specify the placement of the knots. There is a robust set of tools for working with these kinds of constrained optimization problems. PLFs have two useful properties that we take advantage of.
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