Pith. sign in

(10) This uses the fact that when the MLP has converged, the cost function is at an extremum hence the first derivative vanishes

which involves a Taylor expansion of 𝑆𝑆(𝑀𝑀, 𝛼𝛼) = βˆ’π‘†π‘†π‘€π‘€ βˆ’ 𝐸𝐸(𝑀𝑀, 𝛼𝛼) about the current operating point S* located at the current point values of the weights, referred to as the mos

1 Pith paper cite this work. Polarity classification is still indexing.

1 Pith paper citing it
browse 1 citing papers

fields

cs.LG 1

years

2019 1

verdicts

CONDITIONAL 1

representative citing papers

The Partial Response Network: a neural network nomogram

cs.LG Β· 2019-08-16 Β· conditional Β· novelty 6.0

A trained MLP can be rewritten as a sparse additive model of one- and two-variable effects, called a Partial Response Network, with no loss in classification accuracy on benchmark tabular data.

citing papers explorer

Showing 1 of 1 citing paper.

  • The Partial Response Network: a neural network nomogram cs.LG Β· 2019-08-16 Β· conditional Β· none Β· ref 19

    A trained MLP can be rewritten as a sparse additive model of one- and two-variable effects, called a Partial Response Network, with no loss in classification accuracy on benchmark tabular data.