[MINI] Max-pooling
Data Skeptic2 Jun 2017

[MINI] Max-pooling

Max-pooling is a procedure in a neural network which has several benefits. It performs dimensionality reduction by taking a collection of neurons and reducing them to a single value for future layers to receive as input. It can also prevent overfitting, since it takes a large set of inputs and admits only one value, making it harder to memorize the input. In this episode, we discuss the intuitive interpretation of max-pooling and why it's more common than mean-pooling or (theoretically) quartile-pooling.

Episoder(588)

Populært innen Vitenskap

fastlegen
rekommandert
jss
rss-rekommandert
tingenes-tilstand
sinnsyn
rss-nysgjerrige-norge
dekodet-2
villmarksliv
forskningno
doktor-fives-podcast
rss-paradigmepodden
vett-og-vitenskap-med-gaute-einevoll
tomprat-med-gunnar-tjomlid
psykopoden
abid-nadia-skyld-og-skam
tidlose-historier
pod-britannia
katastrofe-i-hjernen
diagnose