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Learning Low Dimensional State Spaces with Overparameterized Recurrent Neural Network.
Edo Cohen-Karlik
Itamar Menuhin-Gruman
Nadav Cohen
Raja Giryes
Amir Globerson
Published in:
CoRR (2022)
Keyphrases
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recurrent neural networks
learning process
low dimensional
neural network
reinforcement learning
recurrent networks
cascade correlation
genetic algorithm
input space
high dimensional
learning algorithm
high dimensional data
manifold learning
active learning
neural nets
training set
long short term memory