Before revision:  In both feed-forward and recurrent networks, we empirically show that our approach learns to approximate the gradient, and can match the performance of gradient-based learning.
After revision:  In both feedforward and convolutional networks, we empirically show that our approach learns to approximate the gradient, and can match the performance of gradient-based learning.