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Using information theory for deep learning, Raja Giryes (TAU)
April 28 @ 12:00 pm - 1:00 pm IDT
Apr. 28th 2019, Sun. 12:00 , Raja Giryes (webpage).
Location: Nano Building (206), Room B991.
Using information theory for deep learning
In this talk, we will use two tools in information theory to gain a better understanding of deep learning training.
First, we will describe the problem of analog channel coding and see how it may explain the dropout regularization.
Second, we will discuss the Lautum information and see how it may help in the problem of semi-supervised transfer learning.
The works described in this talk are done in collaboration with Dor Bank, Daniel Jakubovitz and Miguel Rodriguez.