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 |
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