Search Results for author: Jakob Merrild

Found 1 papers, 1 papers with code

HyperENTM: Evolving Scalable Neural Turing Machines through HyperNEAT

1 code implementation12 Oct 2017 Jakob Merrild, Mikkel Angaju Rasmussen, Sebastian Risi

We demonstrate that using the indirect HyperNEAT encoding allows for training on small memory vectors in a bit-vector copy task and then applying the knowledge gained from such training to speed up training on larger size memory vectors.

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