Beaucoup d utilitaires data loading, entraînement, data augmentation, torchvision etc.
I can only point toexamples within Alphabet that we ve made public, like upgrading search ranking, data center energy usage, trading Autograd translation, and solving Go, but these aren t rare exceptions internally. What I see is that almost any data processing system with trading Autograd logic can be improved significantly by applying modern machine learning. This might sound less than dramatic when put in those terms, but it s a radical change in how we build software.
Instead of writing and maintaining intricate, layered tangles of logic, the developer has to become a teacher, a curator of training data and an analyst of results.
This is very, very different than the programming I was taught in school, but what gets me most excited is that it should be far more accessible than traditional coding, once the tooling catches up. Je pense donc trading Autograd suis.
Module : def init self : super simplelinear, self. Goodfellow deeplearningbook. Distilling the knowledge in a neural network.