Long Short Term Memory (LSTM) recurrent network [58]
and a network for regression. The AMNet network was
originally introduced for the purpose of image memorability
estimation but was designed in a generic manner so it could
be employed for other regression tasks. For the purpose of
estimating the aesthetic quality of images, we ﬁne-tune the
AMNet network on the FLICK-AES dataset [52] and achieve
a Spearman’s rank correlation coefﬁcient of 0.72 between the
predicted and ground-truth ranking.
A_Deep_Learning_Perspective_on_Beauty_Sentiment_and_Remembrance_of_Art