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Published in 2017 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btx531
Abstract: Motivation Deep neural network architectures such as convolutional and long shortâterm memory networks have become increasingly popular as machine learning tools during the recent years. The availability of greater computational resources, more data, new algorithms…
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Keywords:
deep learning;
biology;
biological sequence;
introduction deep ... See more keywords
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Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3104405
Abstract: Over the past decade, Convolutional Networks (ConvNets) have renewed the perspectives of the research and industrial communities. Although this deep learning technique may be composed of multiple layers, its core operation is the convolution, an…
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Keywords:
deep morphological;
introduction deep;
morphological networks;