The Lottery Ticket Hypothesis

Finding Sparse, Trainable Neural Networks
Book •
The Lottery Ticket Hypothesis proposes that within a randomly initialized neural network, there exist smaller subnetworks (winning tickets) that can be trained in isolation to match or exceed the performance of the original network.

This concept has been explored in various research papers but does not appear to be the title of a specific book.

Mentioned by

Mentioned in 0 episodes

Mentioned during the discussion on the lottery ticket hypothesis and neural network pruning.
Robert Lange on NN Pruning and Collective Intelligence

The AI-powered Podcast Player

Save insights by tapping your headphones, chat with episodes, discover the best highlights - and more!
App store bannerPlay store banner
Get the app