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Is There a Way to Reuse Weights in Machine Learning?
In most cases in machine learning, you're going to come up with an architecture that has a bunch of weights and then you initialize them somehow. It seems like it's a waste every time you solve the game of go and chess, Starcraft protein foldinglike surely there's some way to reuse the weights as we grow this giant database of neural networks. So that's, that feels like something is missing fundamentally, we might find it, but it's not very clear how it will look like there's many ideas and it's super exciting as well.