Guest speaker: Kamil Sindi on transfer learning and "intelligent thumbnail selection"

[Chad DeChant]

For this week's meeting we have a guest speaker, Kamil Sindi, who will talk about intelligent thumbnail selection and transfer learning. We will be meeting on Wednesday Oct 26th at 2pm in the Computer Science Department conference room in the CS building inside Mudd.

"Intelligent thumbnail selection"

Kamil Sindi is the lead data scientist at JW Player focused on machine
learning models in production systems. He will be presenting a
Tensorflow-based model that extracts the "best" frames from a video,
which are then used as auto-generated thumbnails and thumbstrips.
Creating the model used transfer learning on Google's Inceptionv3
model, which was pretrained on ImageNet data and retrained on JW
Player's thumbnail library.