derivatives¶

Module contents¶

Derived functions, name prefix specifies its container, like

poornn.derivatives.KS_Tanh(input_shape, itype, **kwargs)¶

Function \(f(x) = \tanh(|x|)\exp(i \theta_x)\).

References

Hirose 1994

Returns:	keep sign tanh layer.
Return type:	KeepSignFunc

poornn.derivatives.KS_Georgiou1992(input_shape, itype, cr, var_mask=[False, False], **kwargs)¶

Function \(f(x) = \frac{x}{c+|x|/r}\)

Parameters:	cr (tuplei, len=2) – c and r. var_mask (1darray, len=2, default=[False,False]) – mask for variables (v, w), with v = -c*r and w = -cr/(1-r).
Returns:	keep sign Georgiou’s layer.
Return type:	KeepSignFunc

poornn.derivatives.JC_Tanh(input_shape, itype, **kwargs)¶

Function \(f(x) = \tanh(\Re[x]) + i\tanh(\Im[x])\).

References

Kechriotis 1994

Returns:	joint complex tanh layer.
Return type:	JointComplex

poornn.derivatives.JC_Sigmoid(input_shape, itype, **kwargs)¶

Function \(f(x) = \sigma(\Re[x]) + i\sigma(\Im[x])\).

References

Birx 1992

Returns:	joint complex sigmoid layer.
Return type:	JointComplex

poornn.derivatives.JC_Georgiou1992(input_shape, itype, params, **kwargs)¶

Function \(f(x) = \text{Georgiou1992} (\Re[x]) + i\text{Georgiou1992}(\Im[x])\).

Parameters:	params – params for Georgiou1992.

References

Kuroe 2005

Returns:	joint complex Geogiou’s layer.
Return type:	JointComplex