Before revision:  The key idea is to capture the high-level features extracted by the target network , and then reconstruct the input using the feedback network. These two parts constitute a feedback autoencoder.
After revision:  The key idea is to capture the high-level features extracted by the target network , and then reconstruct the input . This data stream forms a feedback autoencoder.