Deep Learning in Optics with Aydogan Ozcan - TWiML Talk #237
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Optimizing Optical Neural Networks
This chapter explores enhancements in optical neural networks, focusing on improved inference performance across various datasets, particularly in comparison to MNIST and Fashion MNIST. It discusses the implications of diffractive layers and the potential applications of optical deep learning in fields such as defense, security, and biomedicine, as well as the promise of nonlinear materials for future developments.
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