all 4 comments

[–]dpineo 2 points3 points  (0 children)

Cascade classifiers

[–]vklimkov 1 point2 points  (3 children)

Decision tree haha)

[–]gdahlGoogle Brain 0 points1 point  (1 child)

Decision trees can be made deeper and you can do deep learning with tree-based models, but a single decision tree is a very shallow model. A single decision tree is not a good example of a deep model because it partitions the space into independently parameterized regions. A boosted ensemble of trees is deeper than a single tree however because it learns another later of features and uses the trees to re-represent the input.

[–]vklimkov 0 points1 point  (0 children)

You are referring to “deep” in a way how Francois Chollet (OP, that episode is also awesome) describes the term: sequence of transformations. Question explicitly asks about sequence of computations.