3ef6396af599fec5e899ed2674f7bb60d98a88a4,paysage/layers.py,BernoulliLayer,update,#BernoulliLayer#Any#Any#Any#,1080

Before Change

            None

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

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

    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)):
            field += be.dot(scaled_units[i], weights[i])
        if beta is not None:
            field *= be.broadcast(beta, field)
        field += be.broadcast(self.int_params.loc, field)
        self.ext_params = BernoulliLayer.ExtrinsicParams(field)

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

Instances