Successfully Applying the Stabilized Lottery Ticket Hypothesis to the

Successfully Applying the Stabilized Lottery Ticket Hypothesis to the the lottery ticket hypothesis tl;dr: The author states the lottery ticket hypothesis: A randomly-initialized, dense neural network contains a sub-network that is initialized such that the lottery exposition The Lottery Ticket Hypothesis claims that neural networks used in machine learning get most of their performance from sub-networks that are already present

the lottery exposition The Lottery ticket hypothesis When training very large neural networks, the obtained net might have a lot of unused neurons It is possible,

the best online poker sites The winning tickets, without the remaining redundancy of the wide network, train faster than the wide network In fact, the skinnier they are, Pruning is a well-established technique for removing unnecessary structure from neural networks after training to improve the performance of inference