class BinarySigmoid

class BinarySigmoid

Elementwise BinarySigmoid function defined as.

\[\begin{split} y_i = \left \{ \begin{array}{ll} 1 & (x_i > 0)\\ 0 & (x_i \leq 0) \end{array} \right.. \end{split}\]

Inputs:

  • N-D array.

Outputs:

  • N-D array.

See also

Courbariaux, Matthieu, and Yoshua Bengio. Binarynet: Training deep neural networks with weights and activations constrained to+ 1 or-1. preprint arXiv:1602.02830 (2016).

Template Parameters:

T – Data type for computation.