Google DeepMind Research Explores the Puzzling Phenomenon of Grokking in Neural Networks: Unveiling the Interplay Between Memorization and Generalization

The traditional theory of how neural networks learn and generalize is put to the test by the occurrence of grokking in neural networks. When a neural network is being trained, the expectation is that the network’s performance on test data will likewise improve as the training loss lowers and converges to a low value, but […]

The post Google DeepMind Research Explores the Puzzling Phenomenon of Grokking in Neural Networks: Unveiling the Interplay Between Memorization and Generalization appeared first on …

ai shorts applications artificial intelligence data deepmind deepmind research editors pick google google deepmind learn machine learning network networks neural network neural networks performance research staff tech news technology test theory