show_nn.sty

% show z param
\newcommand{\showZs}{%
    calculated input layer $z$ \\%
    \foreach \x in {1,...,\value{inputNum}}{%
      $z^{(1)}_\x=$\Zs@iris(1,\x),\ %
    } \\%
    calculated hidden layer $z$ \\%
    \foreach \x in {1,...,\value{layerSize}}{%
      $z^{(2)}_\x=$\Zs@iris(2,\x),\ %
    } \\%
    calculated output layer $z$ \\%
    \foreach \x in {1,...,\value{classNum}}{%
      $z^{(3)}_\x=$\Zs@iris(3,\x),\ %
    } \\%
}%


% show a param
\newcommand{\showAs}{%
  calculated input layer $a$ \\%
  \foreach \x in {1,...,\value{inputNum}}{%
      $a^{(1)}_\x=$\As@iris(1, \x),\ %
  } \\%
  calculated hidden layer $a$ \\%
  \foreach \x in {1,...,\value{layerSize}}{%
      $a^{(2)}_\x=$\As@iris(2, \x),\ %
  }\\%
  calculated output layer $a$ \\%
  \foreach \x in {1,...,\value{classNum}}{%
      $a^{(3)}_\x=$\As@iris(3, \x),\ %
  }\\%
}%

% show unit errors
\newcommand{\showUnitErrors}{%
  hidden unit errors \\%
  \foreach \x in {1,...,\value{layerSize}}{%
    $\delta^{(2)}_\x=$\HUnitError(\x),\ %
  } \\%
  output unit errors \\%
  \foreach \x in {1,...,\value{classNum}}{%
    $\delta^{(3)}_\x=$\OUnitError(\x),\ %
  } \\%
}%

% show init weights
\newcommand{\showInitWeights}{%
  Init weights of input layer to hidden layer \\%
  \foreach \x in {1,...,\value{inputNum}}{%
    \foreach \y in {1,...,\value{layerSize}}{%
      $w^{(2)}_{\y\x}$ = \weights@ItoH@iris(\y,\x) \ %
    }\\%
  }%
  Init weigths of hidden layer to output layer \\%
  \foreach \x in {1,...,\value{layerSize}}{%
    \foreach \y in {1,...,\value{classNum}}{%
      $w^{(3)}_{\y\x}$ = \weights@HtoO@iris(\y,\x) \ %
    }\\%
  }%
}%

% show init Bias
\newcommand{\showInitBias}{%
  Init bias of input layer to hidden layer \\%
  \foreach \x in {1,...,\value{inputNum}}{%
    $b^{(2)}_\x$ = \bias@ItoH@iris(\x) \ %
  }\\%
  Init bias of hidden layer to output layer \\%
  \foreach \x in {1,...,\value{inputNum}}{%
    $b^{(3)}_\x$ = \bias@HtoO@iris(\x) \ %
  }\\%
}

% show update weights
\newcommand{\showUpdateWeights}{%
  Update weights of input layer to hidden layer \\%
  \foreach \x in {1,...,\value{inputNum}}{%
    \foreach \y in {1,...,\value{layerSize}}{%
      $w^{(2)}_{\y\x}$ = \weights@ItoH@iris(\y,\x) \ %
    }\\ %
  }%
  Update weigths of hidden layer to output layer \\%
  \foreach \x in {1,...,\value{layerSize}}{%
    \foreach \y in {1,...,\value{classNum}}{%
      $w^{(3)}_{\y\x}$ = \weights@HtoO@iris(\y,\x) \ %
    }\\%
  }%
}

% show update bias
\newcommand{\showUpdateBias}{%
  Update Bias of input layer to hidden layer \\%
  \foreach \x in {1,...,\value{layerSize}}{%
    $b^{(2)}_{\x}$ = \bias@ItoH@iris(\x) \ %
  }\\ %
  Update Bias of hidden layer to output layer \\%
  \foreach \x in {1,...,\value{classNum}}{%
    $b^{(3)}_{\x}$ = \bias@HtoO@iris(\x) \ %
  }\\ %
}%

% show softmax value
%calculated output layer $a$ \\%
%\foreach \x in {1,...,\value{classNum}}{%
%  \As@iris(3,\x),\ %
%} \\%

% show law dataNum
\newcommand{\showLawData}{%
  All Iris Data \\%
  \foreach \x in {1,...,\value{dataNum@iris}}{%
    \x : \foreach \y in {1,...,4}{%
      \irisSVArray(\x, \y),\ %
    } \\%
  }%
}%

  % show answer
\newcommand{\showAnswer}{
  \FPifeq{\myAns}{\a@one} answer is ``setosa'' \\%
  \else \FPifeq{\myAns}{\a@two} answer is ``versicolor'' \\%
  \else answer is ``virginica'' \\ \fi%

  \ifthenelse{\t@one=1}{%
      solution is ``setosa'' \\%
  }%
  {%
      \ifthenelse{\t@two=1}{%
          solution is ``versicolor'' \\%
      }{%
          solution is ``virginica'' \\%
      }%
  }%
}%