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encoder_decoder [2018/08/23 07:14] admin |
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| We call this new approach neural architecture optimization (NAO). There are three key components in our proposed approach: (1) An encoder embeds/maps neural network architectures into a continuous space. (2) A predictor takes the continuous representation of a network as input and predicts its accuracy. (3) A decoder maps a continuous representation of a network back to its architecture. | We call this new approach neural architecture optimization (NAO). There are three key components in our proposed approach: (1) An encoder embeds/maps neural network architectures into a continuous space. (2) A predictor takes the continuous representation of a network as input and predicts its accuracy. (3) A decoder maps a continuous representation of a network back to its architecture. | ||
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| + | https://arxiv.org/abs/1808.03867 Pervasive Attention: 2D Convolutional Neural Networks for Sequence-to-Sequence Prediction | ||
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