Simple reprex:
set.seed(1234)
nn2poly::nn2poly(list(
"tanh" = matrix(rnorm(12, sd=0.1), nrow = 3, ncol = 4),
"softplus" = matrix(rnorm(20, sd=0.1), nrow = 5, ncol = 4),
"linear" = matrix(rnorm(5, sd=0.1), nrow = 5, ncol = 1)
), max_order = 7, taylor_orders = 3, keep_layers = TRUE)
#> nn2poly p=2 max_order=7 (36 coefficients)
#>
#> Label layer_1.1 layer_1.2 layer_1.3 layer_1.4
#> 1 0 -1.201203e-01 -2.302675e-01 -5.741071e-02 -8.876876e-02
#> 2 1 2.733871e-02 4.055130e-02 -5.448262e-02 -4.734125e-02
#> 3 2 1.068641e-01 4.782112e-02 -5.625875e-02 -9.904776e-02
#> 4 1 1 9.290421e-05 4.319555e-04 1.717360e-04 2.026731e-04
#> 5 1 2 7.263052e-04 1.018788e-03 3.546691e-04 8.480685e-04
#> 6 2 2 1.419525e-03 6.007157e-04 1.831156e-04 8.871679e-04
#> 7 1 1 1 -7.117631e-06 -2.634082e-05 5.444570e-05 3.622097e-05
#> 8 1 1 2 -8.346617e-05 -9.318918e-05 1.686619e-04 2.273454e-04
#> 9 1 2 2 -8.346617e-05 -9.318918e-05 1.686619e-04 2.273454e-04
#> 10 2 2 2 -4.251055e-04 -4.319905e-05 5.994594e-05 3.317224e-04
#> 11 1 1 1 1 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> 12 1 1 1 2 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> 13 1 1 2 2 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> 14 1 2 2 2 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> 15 2 2 2 2 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> 16 1 1 1 1 1 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> 17 1 1 1 1 2 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> 18 1 1 1 2 2 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> 19 1 1 2 2 2 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> 20 1 2 2 2 2 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> 21 2 2 2 2 2 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> 22 1 1 1 1 1 1 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> 23 1 1 1 1 1 2 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> 24 1 1 1 1 2 2 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> 25 1 1 1 2 2 2 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> 26 1 1 2 2 2 2 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> 27 1 2 2 2 2 2 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> 28 2 2 2 2 2 2 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> 29 1 1 1 1 1 1 1 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> 30 1 1 1 1 1 1 2 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> 31 1 1 1 1 1 2 2 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> 32 1 1 1 1 2 2 2 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> 33 1 1 1 2 2 2 2 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> 34 1 1 2 2 2 2 2 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> 35 1 2 2 2 2 2 2 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> 36 2 2 2 2 2 2 2 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> layer_2.1 layer_2.2 layer_2.3 layer_2.4 Value
#> 1 6.466208e-01 6.288087e-01 6.780681e-01 6.526337e-01 -4.272445e-01
#> 2 3.374677e-03 4.247289e-03 1.778838e-03 -3.638420e-03 -2.755921e-04
#> 3 5.218396e-03 3.132744e-03 1.993495e-03 -2.937403e-03 -3.643284e-04
#> 4 2.046540e-05 5.185914e-05 -1.753199e-05 -7.789385e-06 -5.728997e-06
#> 5 4.569472e-05 8.456062e-05 -1.599804e-05 -3.519512e-05 -6.525562e-06
#> 6 2.426657e-05 -1.272185e-06 2.570312e-05 -3.383336e-05 3.365529e-06
#> 7 -2.339793e-06 -2.978344e-06 -2.153876e-06 3.297147e-06 1.351836e-07
#> 8 -1.075206e-05 -1.091011e-05 -4.374203e-06 8.203149e-06 1.038735e-06
#> 9 -1.074584e-05 -1.118163e-05 -4.295778e-06 8.272050e-06 1.058479e-06
#> 10 -1.161173e-05 4.492644e-06 -2.982641e-06 -2.025100e-06 6.398922e-07
#> 11 -8.791640e-09 -1.451563e-08 -3.696743e-09 -1.269685e-08 6.005022e-09
#> 12 -5.403049e-08 -6.369045e-08 -1.185124e-08 -4.113974e-08 2.343649e-08
#> 13 -1.030472e-07 -9.410628e-08 -1.698887e-08 -5.520766e-08 3.451526e-08
#> 14 -1.060338e-07 -1.950548e-08 -1.487521e-08 -1.500623e-08 1.350093e-08
#> 15 -6.707073e-08 1.626939e-08 -5.942250e-09 7.674302e-09 -2.676611e-10
#> 16 -3.742602e-11 -1.515183e-10 4.186441e-11 -5.282103e-11 3.318678e-11
#> 17 -2.403174e-10 -7.958614e-10 1.278775e-10 -2.949962e-10 1.910785e-10
#> 18 -5.121313e-10 -1.424052e-09 1.203817e-10 -6.718553e-10 3.900735e-10
#> 19 -6.107291e-10 -6.008243e-10 4.216605e-11 -7.051806e-10 2.773020e-10
#> 20 -4.495117e-10 4.495457e-10 -4.341602e-11 -2.246742e-10 3.346140e-12
#> 21 -1.190200e-10 -3.579399e-11 -7.393211e-11 9.006532e-11 7.950096e-13
#> 22 3.155886e-12 5.805356e-12 2.314298e-12 5.703806e-12 -2.617612e-12
#> 23 2.883787e-11 4.160391e-11 9.391128e-12 2.807990e-11 -1.544124e-11
#> 24 9.471656e-11 1.161422e-10 1.891813e-11 6.263931e-11 -3.953293e-11
#> 25 1.625303e-10 1.325860e-10 2.567614e-11 6.154995e-11 -4.616259e-11
#> 26 2.064770e-10 1.544883e-11 2.296288e-11 1.592860e-11 -1.902027e-11
#> 27 1.405983e-10 -5.908945e-11 1.343588e-11 -1.863081e-11 5.071410e-12
#> 28 7.501624e-11 1.171064e-11 4.737138e-12 2.510944e-12 -6.768535e-12
#> 29 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> 30 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> 31 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> 32 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> 33 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> 34 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> 35 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> 36 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
Simple reprex: