Deep Learning in Optics with Aydogan Ozcan – TWiML Talk #237
In our conversation, we explore his group’s research into the intersection of deep learning and optics, holography and computational imaging. We specifically look at a really interesting project to create all-optical neural networks which work based on diffraction, where the printed pixels of the network are analogous to neurons. We also explore some of the practical applications for their research and other areas of interest for their group.
The complete show notes for this episode can be found at twimlai.com/talk/237.
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