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2 results for neuro-evolution

Evolutionary method constructs CNNs for data compression and classification.

problem Creating efficient CNNs for data compression and classification.
method Two-step approach using evolutionary algorithms: 1) Convolutional autoencoder, 2) Convolutional neural network. Compression trade-off considered.
result Framework achieves comparable accuracy to hand-crafted networks, demonstrating effectiveness.

Deep neural networks continue to show improved performance with increasing depth, an encouraging trend that implies an explosion in the possible permutations of network architectures and hyperparameters for which there is little intuitive guidance. To address this increasing complexity, we propose Evolutionary DEep Net…

2017-09-26abs ↗pdf ↗