# Macro definitions
    #inline Rectified Linear Feed Forward
    RFF_R(x1, w1, b1)=RectifiedLinear(Plus(Times(w1,x1),b1))
    #Feed Forward
    FF(X1, W1, B1)
    {
        T=Times(W1,X1);
        P=Plus(T, B1);
    }
    #Base feed Forward network, defines Bias and wieght parameters
    BFF(in, rows, cols)
    {
        B=Parameter(rows, init="fixedValue", value=0)
        W=Parameter(rows, cols)
        FF = FF(in, w, b)
    }
    #RectifiedLinear Base Feed Forward
    RBFF(in,rowCount,colCount)
    {
        BFF = BFF(in, rowCount, colCount);
        RL = RectifiedLinear(BFF);
    }
    #Rectified Linear Feed Forward
    RFF(X2,W2,B2)
    {
        FF = FF(X2, W2, B2);  
        RL = RectifiedLinear(FF);
    }
    #RectifiedLinear Feed Forward with Dropout
    RFFD(X3,W3,B3)
    {
        RFF=RFF(X3, W3, B3)
        DO=Dropout(RFF)
    }
    #Sigmoid Base Feed Forward
    SBFF(in,rowCount,colCount)
    {
        BFF = BFF(in, rowCount, colCount);
        S = Sigmoid(BFF);
    }
    #Sigmoid Feed Forward
    SFF(X2,W2,B2)
    {
        FF = FF(X2, W2, B2);  
        S = Sigmoid(FF);
    }
    #Sigmoid Feed Forward with Dropout
    SFFD(X3,W3,B3)
    {
        SFF=SFF(X3, W3, B3)
        DO=Dropout(SFF)
    }
    #Sigmoid Feed Forward with Dropout
    SBFFD(inputval,rowCount,colCount)
    {
        SBFF=SBFF(inputval,rowCount,colCount)
        DO=Dropout(SBFF)
    }
    #SoftMax Feed Forward
    SMFF(x,y,z, labels)
    {
        FF = FF(x,y,z);  
        SM = CrossEntropyWithSoftmax(labels, FF)
    }
    #SoftMax Base Feed Forward
    SMBFF(x,r,c, labels)
    {
        BFF = BFF(x,r,c);  
        SM = CrossEntropyWithSoftmax(labels, BFF)
    }
    RFFD_R(x1, w1, b1)={Dropout(RectifiedLinear(Plus(Times(w1,x1),b1)))}