Neural networks numerical labels

The code given below generates a MWE.

documentclass{standalone}



usepackage{lmodern}

usepackage{neuralnetwork}



newcommand{linklab}[4]{ifnum0=#2 $w_{0}$ else $w_{{#2}}$ fi}



begin{document}



begin{neuralnetwork} 



inputlayer[count=3, bias=true]

outputlayer[count=1, bias=false]linklayers[style={above,sloped},labels=linklab]



end{neuralnetwork}

end{document}

enter image description here

TO (generated by inkscape)

enter image description here

I would like to use numerical labels automatically. The code should give (for example) 1.5, 2.3, 1 and 5.1 instead of w_0, w_1, w_2 and w_3 when I write label = {1.5, 2.3, 1, 5.1} (or sth. similar).

I tried to use foreach with ifnum but could not get what I would like.

edited Jan 5 at 16:05

asked Jan 5 at 15:14

mert

7241614

I believe that the success of any approach with your linklab macro requires knowledge, how outputlayer treats the labels= argument.

– Christian Hupfer
Jan 5 at 16:02

add a comment |

The code given below generates a MWE.

documentclass{standalone}



usepackage{lmodern}

usepackage{neuralnetwork}



newcommand{linklab}[4]{ifnum0=#2 $w_{0}$ else $w_{{#2}}$ fi}



begin{document}



begin{neuralnetwork} 



inputlayer[count=3, bias=true]

outputlayer[count=1, bias=false]linklayers[style={above,sloped},labels=linklab]



end{neuralnetwork}

end{document}

enter image description here

TO (generated by inkscape)

enter image description here

I tried to use foreach with ifnum but could not get what I would like.

edited Jan 5 at 16:05

asked Jan 5 at 15:14

mert

7241614

I believe that the success of any approach with your linklab macro requires knowledge, how outputlayer treats the labels= argument.

– Christian Hupfer
Jan 5 at 16:02

add a comment |

The code given below generates a MWE.

documentclass{standalone}



usepackage{lmodern}

usepackage{neuralnetwork}



newcommand{linklab}[4]{ifnum0=#2 $w_{0}$ else $w_{{#2}}$ fi}



begin{document}



begin{neuralnetwork} 



inputlayer[count=3, bias=true]

outputlayer[count=1, bias=false]linklayers[style={above,sloped},labels=linklab]



end{neuralnetwork}

end{document}

enter image description here

TO (generated by inkscape)

enter image description here

I tried to use foreach with ifnum but could not get what I would like.

edited Jan 5 at 16:05

asked Jan 5 at 15:14

mert

7241614

The code given below generates a MWE.

documentclass{standalone}



usepackage{lmodern}

usepackage{neuralnetwork}



newcommand{linklab}[4]{ifnum0=#2 $w_{0}$ else $w_{{#2}}$ fi}



begin{document}



begin{neuralnetwork} 



inputlayer[count=3, bias=true]

outputlayer[count=1, bias=false]linklayers[style={above,sloped},labels=linklab]



end{neuralnetwork}

end{document}

enter image description here

TO (generated by inkscape)

enter image description here

I tried to use foreach with ifnum but could not get what I would like.

tikz-pgf foreach fill

edited Jan 5 at 16:05

asked Jan 5 at 15:14

mert

7241614

edited Jan 5 at 16:05

asked Jan 5 at 15:14

mert

7241614

edited Jan 5 at 16:05

asked Jan 5 at 15:14

mert

7241614

asked Jan 5 at 15:14

mert

7241614

asked Jan 5 at 15:14

mert

7241614

I believe that the success of any approach with your linklab macro requires knowledge, how outputlayer treats the labels= argument.

– Christian Hupfer
Jan 5 at 16:02

add a comment |

I believe that the success of any approach with your linklab macro requires knowledge, how outputlayer treats the labels= argument.

– Christian Hupfer
Jan 5 at 16:02

I believe that the success of any approach with your linklab macro requires knowledge, how outputlayer treats the labels= argument.

– Christian Hupfer
Jan 5 at 16:02

add a comment |

1 Answer
1

active

oldest

votes

Something like this?

documentclass{standalone}



usepackage{lmodern}

usepackage{neuralnetwork}

newcommand{linklab}[4]{ifcase#2

0

or

1.5

or

2.3

or

1

or

5.1

fi}



begin{document}



begin{neuralnetwork} 



inputlayer[count=3, bias=true]

outputlayer[count=1, bias=false]linklayers[style={above,sloped},labels=linklab]



end{neuralnetwork}

end{document}

enter image description here

answered Jan 5 at 17:19

marmot

92.3k4108202

add a comment |

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1 Answer
1

active

oldest

votes

1 Answer
1

active

oldest

votes

Something like this?

documentclass{standalone}



usepackage{lmodern}

usepackage{neuralnetwork}

newcommand{linklab}[4]{ifcase#2

0

or

1.5

or

2.3

or

1

or

5.1

fi}



begin{document}



begin{neuralnetwork} 



inputlayer[count=3, bias=true]

outputlayer[count=1, bias=false]linklayers[style={above,sloped},labels=linklab]



end{neuralnetwork}

end{document}

enter image description here

answered Jan 5 at 17:19

marmot

92.3k4108202

add a comment |

Something like this?

documentclass{standalone}



usepackage{lmodern}

usepackage{neuralnetwork}

newcommand{linklab}[4]{ifcase#2

0

or

1.5

or

2.3

or

1

or

5.1

fi}



begin{document}



begin{neuralnetwork} 



inputlayer[count=3, bias=true]

outputlayer[count=1, bias=false]linklayers[style={above,sloped},labels=linklab]



end{neuralnetwork}

end{document}

enter image description here

answered Jan 5 at 17:19

marmot

92.3k4108202

add a comment |

Something like this?

documentclass{standalone}



usepackage{lmodern}

usepackage{neuralnetwork}

newcommand{linklab}[4]{ifcase#2

0

or

1.5

or

2.3

or

1

or

5.1

fi}



begin{document}



begin{neuralnetwork} 



inputlayer[count=3, bias=true]

outputlayer[count=1, bias=false]linklayers[style={above,sloped},labels=linklab]



end{neuralnetwork}

end{document}

enter image description here

answered Jan 5 at 17:19

marmot

92.3k4108202

Something like this?

documentclass{standalone}



usepackage{lmodern}

usepackage{neuralnetwork}

newcommand{linklab}[4]{ifcase#2

0

or

1.5

or

2.3

or

1

or

5.1

fi}



begin{document}



begin{neuralnetwork} 



inputlayer[count=3, bias=true]

outputlayer[count=1, bias=false]linklayers[style={above,sloped},labels=linklab]



end{neuralnetwork}

end{document}

enter image description here

answered Jan 5 at 17:19

marmot

92.3k4108202

answered Jan 5 at 17:19

marmot

92.3k4108202

answered Jan 5 at 17:19

marmot

92.3k4108202

answered Jan 5 at 17:19

marmot

92.3k4108202

add a comment |

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