# NOT RUN {
s1 <- "Using complementary priors, we derive a fast greedy algorithm that
can learn deep directed belief networks one layer at a time, provided the
top two layers form an undirected associative memory"
s2 <- "Deepneural nets with a large number of parameters are very powerful
machine learning systems. However, overfitting is a serious problem in
such networks"
ma_similarity(s1, s2)
ma_similarity(s1, s2, method = "POST")
# }
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