b326b8034d5e8973c8aa9fbb5427d23963a430f8,paysage/layers.py,ExponentialLayer,update,#ExponentialLayer#Any#Any#Any#,1354

Before Change

            None

        
        self.ext_params["rate"] = -be.dot(scaled_units[0], weights[0])
        for i in range(1, len(weights)):
            self.ext_params["rate"] -= be.dot(scaled_units[i], weights[i])

        if beta is not None:
            self.ext_params["rate"] *= be.broadcast(
                                        beta,
                                        self.ext_params["rate"]
                                        )
        self.ext_params["rate"] += be.broadcast(
                                    self.int_params["loc"],
                                    self.ext_params["rate"]
                                    )

    def derivatives(self, vis, hid, weights, beta=None):
        
        Compute the derivatives of the intrinsic layer parameters.

After Change

        for i in range(1, len(weights)):
            rate -= be.dot(scaled_units[i], weights[i])
        if beta is not None:
            rate *= be.broadcast(beta,rate)
        rate += be.broadcast(self.int_params.loc, rate)
        self.ext_params = ExponentialLayer.ExtrinsicParams(rate)

    def derivatives(self, vis, hid, weights, beta=None):
        
        Compute the derivatives of the intrinsic layer parameters.

Instances