Satoshi Takabe

Theoretical Interpretation of Learned Step Size in Deep-Unfolded Gradient Descent

2020 · arXiv (Cornell University)

Deep unfolding is a promising deep-learning technique in which an iterative algorithm is unrolled to a deep network architecture with trainable parameters. In the case of gradient descent algorithms, as a result of the training …