Improve the optical neural network structure by using neural architecture search for visual classification tasks
T. Hu (TU Delft - Mechanical Engineering)
Richard A. Norte – Mentor (TU Delft - Dynamics of Micro and Nano Systems)
Miguel Bessa – Mentor (TU Delft - Team Marcel Sluiter)
AM Aragon – Coach (TU Delft - Computational Design and Mechanics)
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Abstract
This research explores the integration of Neural Architecture Search with Optical Neural Networks to optimize the efficiency and performance in traditional visual image classification tasks. The study introduces a new approach that applies Neural Architecture Search, a technique traditionally used to optimize the performance of Artificial Neural Networks, to the field of Optical Neural Networks.