Method backward_pass

mla/neuralnet/layers/basic.py:171–176

(self, delta)

        return y

    def backward_pass(self, delta):
        n_timesteps = delta.shape[1]
        X = delta.reshape(-1, delta.shape[-1])
        y = self.dense.backward_pass(X)
        y = y.reshape((-1, n_timesteps, self.input_dim))
        return y

    @property
    def parameters(self):