One notable missing feature in most ANN models is top-down feedback, i.e. projections from higher-order layers to lower-order layers in the network. Top-down feedback is ubiquitous in the brain, and ...

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Abstract: In this paper, we propose a novel deep learning model that integrates a Temporal Convolutional Network (TCN ... the TCN captures both short-term and long-term dependencies in the stock price ...

This is the reference implementation of the models and code for the fully convolutional networks (FCNs) in the PAMI FCN and CVPR FCN papers ... The alignment is handled automatically by net ...

Deep learning is a subset of machine learning, which itself is a branch of artificial intelligence (AI). It involves training ...

The integration of deep learning in neuroimaging enhances diagnostic capabilities, offering new insights into neurological ...

AlexNet is an artificial neural network created to recognize the contents of photographic images. It was developed in 2012 by then University of Toronto graduate ...