Optimizing Neural Networks
Aydogan discusses the ongoing research in optimizing neural networks, particularly in improving inference performance on complex datasets. He highlights a significant leap in accuracy for the amnist dataset, achieving 98% without nonlinear optical materials, showcasing the potential for further advancements in optical neural networks.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Deep Learning in Optics with Aydogan Ozcan - TWiML Talk #237
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