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The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural

The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural

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070621 Prof Zhangyang Wang, UT-Austin The lottery ticket hypothesis for gigantic

The lottery ticket hypothesis suggests that by training DNNs from “lucky” initializations, we can train networks which are 10-100x smaller with This repository contains a Pytorch implementation of the paper The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks by Jonathan Frankle

lottery sambad aaj ka rashifal Our studies reveal that lottery tickets obtained from Imagenet pretraining do not transfer well to the downstream tasks We provide guidance on how to find The lottery ticket hypothesis suggests that by training DNNs from “lucky” initializations, we can train networks which are 10-100x smaller with

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