# Number of weights in historical to cutting edge deployment of deep networks [closed]

In cutting edge deployment of deep networks for different architectures (such as $$CNN$$, $$QRNN$$ etc) what is the historical trend of current limits of trainability possible computationally? By this I mean number of nodes and number of weights?

• Hi. You need to define limits in a more precise way.
– nbro
Dec 27 '19 at 12:36