You can add location information to your Tweets, such as your city or precise location, from the web and via third-party applications. You always have the option to delete your Tweet location history. Learn more
I think we can agree that the brain has specialized components that work in concert to achieve human cognition. We can furthermore agree that each of these components is built of specialized neural networks. Hybrid architectures are a stepping stone towards more general kinds.
if you have specialized components that operate under different principles, you have hybrid systems.
Can you more formally define what these hybrid systems you have in mind are? I sense there's a lot of overlap between what DL researchers consider as architecture choices or other inductive biases.
In lieu of @GaryMarcus definition, I would define a hybrid system as that having components that are both grown (i.e. trained like a neural network) and human-engineered (i.e. tree search). I argue that the latter can also be grown and thus it is a stepping stone.
Neuroscientists will unanimously agree that every specialized component of the brain is made of up of neural networks.
of course. as i have written numerous times, the question is not whether the brain is a neural network, but rather what *kinds* of neural networks the brain uses, whether they have anything to do with the tools in Ml, and what sorts of computations they implement.
Twitter may be over capacity or experiencing a momentary hiccup. Try again or visit Twitter Status for more information.
