Exploiting deep network with adaptive learning rate framework to recognize scattering vortex beam OAM mode

Key Points

• Recognition accuracy improves with the adaptive learning rate in deep learning frameworks, showing 95% accuracy for specific OAM modes.
• The method of using adaptive learning rates allows for better convergence in deep learning models over traditional static rates.
• Analysis of vortex beam recognition demonstrates advantages in processing time and accuracy compared to prior methods in optical applications.
• Supports potential advancements in recognizing complex beam formations, though further validation in diverse settings is necessary.