Nowadays many apps and social networking sites are dealing with large number of images which lead to huge storage cost and problem in surfacing those images on client machine in case of bad/low network speed. In this talk we will present how can we achieve low bpp using RNNs.

 
 

Outline/Structure of the Talk

  • Introduction [2 min]
  • Architecture of network [3 min]
  • Reconstruction framework [5 min]
  • Entropy encoding [7 min]
  • Support in client libraries [3 min]

Learning Outcome

Participants will learn about image data pre-processing, how encoder decoder network works and transfer learning.

Target Audience

Anyone who is interested in practical application of deep learning techniques.

Prerequisites for Attendees

Knowledge of basic machine learning techniques.

schedule Submitted 2 years ago

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