47ed18a3af8be20dce91286a331d4671074ee0ca,keras/layers/core.py,TimeDistributedDense,get_output,#TimeDistributedDense#Any#,783

Before Change

    def get_output(self, train=False):
        X = self.get_input(train)
        output = self.activation(K.dot(K.permute_dimensions(X, (1, 0, 2)),
                                       self.W) + self.b)
        return K.permute_dimensions(output, (1, 0, 2))

    def get_config(self):
        config = {"name": self.__class__.__name__,

After Change

        last_output, outputs, states = K.rnn(step, X, [], masking=False)

        outputs = self.activation(outputs)
        return outputs

    def get_config(self):
        config = {"name": self.__class__.__name__,

Instances