Autonomous deep learning: A genetic DCNN designer for image classification

arXiv: Computer Vision and Pattern Recognition(2020)

引用 79|浏览14
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摘要
•Search deep convolutional neural networks automatically for image classification.•Encode a deep convolutional neural network’s architecture into an integer string.•Evolve a population of DCNN architectures using genetic evolutionary operations.•Obtained DCNNs achieved satisfying results with less layers than pre-trained models.•Image classification using neither handcrafted features nor handcrafted networks.
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关键词
Deep convolutional neural networks (DCNNs), Neural architecture search, Genetic algorithm (GA), Image classification
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