Research Article
An Adaptive Deep Learning Optimization Method Based on Radius of Curvature
| Input: initialization parameter , learning rate , moving average decay rate , and objective function | (1) | initialization | (2) | for t = 1 to T do | (3) | | (4) | | (5) | | (6) | | (7) | | (8) | | (9) | | (10) | | (11) | | (12) | | (13) | end for |
|