WB Deep Learning Salon Chirag Agarwal Charles Frye
This salon will feature: Chirag Agarwal, postdoctoral fellow at Harvard University, presenting on his recent paper with Sara Hooker, of Google Brain, on using the variance of the gradient to estimate example difficulty (arXiV: and Charles Frye, deep learning educator at Weights Biases, presenting on a useful test case for developing intuition for machine learning: learning to multiply numbers by 1. This presentation was part of our Virtual Deep Learning Salon
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