[x3d-public] Geometric/Geographic Deep Learning

[Joseph D Williams]

Anything you wish to discuss involving anticipation, simulation, recognition, labeling, intentionality, inclusion, exclusion, semantic and physical relationships, what the computer wants to see, deep learning, and continuous integration, then watch some of this.

https://www.youtube.com/watch?v=-b041NXGPZ8

to convolve and deconvolve is basic. How many frames you want? How many neurons you got? 

Thanks, 
Joe


From: John Carlson
Sent: Sunday, May 19, 2019 8:34 AM
To: X3D Graphics public mailing list
Subject: [x3d-public] Geometric/Geographic Deep Learning

Finally, something that interests me about deep learning!  Is anyone working on geometric or geographic deep learning?  It appears like these subfields of deep learning have emerged, based on Graph Convolution Networks (GCNs), and perhaps HyperGCNs.

Thanks,

John


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