Using these models, they experimentally verified that these modules contributed to the formation of specific neuron types. "Our study identified and validated specific gene networks that drive the ...

Convolutional Neural Networks (ConvNets or CNNs) are a class of neural networks algorithms that are mostly used in visual recognition tasks such as image classification, object detection, and image ...

Abstract: Convolutional neural networks (CNNs) are rapidly gaining popularity in artificial ... with the sparseness ratio allocation (SRA) and the neuron re-pruning (NRP). To achieve a higher overall ...

For details refer to the paper: Chartsias, A., Joyce, T., Papanastasiou, G., Williams, M., Newby, D., Dharmakumar, R., & Tsaftaris, S. A. (2019). Factorised ...

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