A First-Principles Theory of NeuralNetwork Generalization ‚Äď The Berkeley Artificial Intelligence Research Blog

Fig 1. Measures of generalization efficiency for neural networks educated on 4 completely different boolean features (colours) with various coaching set measurement. For each MSE (left) and learnability (proper), theoretical predictions (curves) carefully match true efficiency (dots). Deep studying has confirmed a shocking success for numerous issues of curiosity, however this success belies the truth […]

Game theory as an engine for massive information analysis

EigenGame draws up a brand-new method to fix basic ML issues. Modern AI systems approach jobs like acknowledging items in images and forecasting the 3D structure of proteins as a persistent trainee would get ready for an examination. By training on lots of example issues, they reduce their errors with time up until they attain […]