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46 s

Reel · 46 s

Neural network explained: it matched boosting with 2,177 weights, and changing the seed moved its AUC by 0.004

In 46 seconds, narrated: one hidden layer of 128 units matched a boosting model on the test period; why with no hidden layer the network is exactly a logistic regression; what happens when it grows too much; how much the result moves when only the seed changes; and what it gains in size and latency per row. Muted by default: turn the sound on in the controls.

Length
46 s
Published

Machine learningAlgoritmosPythonDatos

This reel sums up Neural network explained: it matched boosting with 2,177 weights, and changing the seed moved its AUC by 0.004, where the method, the tables and what did not work are.

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