Limitations of the NTK for Understanding Generalization in Deep Learning

https://openreview.net/forum?id=Y3saBb7mCE

#generalization #epochs #scaling

4/ Learn what #epochs and #slots are and why this notion of an epoch makes #Cardano highly scalable. https://www.youtube.com/watch?v=BQkJP0uUxS0

4/ Learn what #epochs and #slots are and why this notion of an epoch makes #Cardano highly scalable. https://www.youtube.com/watch?v=BQkJP0uUxS0

#KnowledgeByte: Geological #Epochs and #Anthropocene

The Anthropocene Epoch is an unofficial unit of geologic time, used to describe the most recent period in Earth's history when human activity started to have a significant impact on the planet's climate and ecosystems.

https://knowledgezone.co.in/trends/explorer?topic=Anthropocene

#LittleJohnnyJewel - 10/75
#Horses - 11/75
#Ramones - 4/76

#TheCulture is divisible two major #epochs. I dated the stroke of #midnight as 4/76 but I'm gonna think about that.

Deep Double Descent via Smooth Interpolation

https://openreview.net/forum?id=fempQstMbV

#deep #overparameterized #epochs

@chelseaparlett Thank you for a thought provoking question! I believe that the bias-variance decomposition comes from a formal statistical standpoint but that it has been adapted in machine learning as a catch-all method for evaluating model fit and model generalization. So the graph and the terminology might be most natural for a linear model (plotting mse on the y-axis and df on the x-axis) but for NNs it has been adapted to mean something slightly different (#epochs on the x-axis for example)