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The Ant Swarm Neuro-Evolution Procedure for Optimizing Recurrent Networks
Hand-crafting effective and efficient structures for recurrent neural networks (RNNs) is a difficult, expensive, and time-consuming process.
An Empirical Exploration of Deep Recurrent Connections and Memory Cells Using Neuro-Evolution
EXAMM, in this study, was used to train over 10. 56 million RNNs in 5, 280 repeated experiments with varying components.
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