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Published in 2022 at "Algorithms"
DOI: 10.3390/a15010011
Abstract: Convolutional neural networks (CNNs) have powerful representation learning capabilities by automatically learning and extracting features directly from inputs. In classification applications, CNN models are typically composed of: convolutional layers, pooling layers, and fully connected (FC)…
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Keywords:
cnn hopfield;
optimal cnn;
genetic algorithm;
hopfield network ... See more keywords