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Deep learning modelling techniques: current progress, applications, advantages, and challenges

Deep learning modelling techniques: current progress, applications, advantages, and challenges Abstract Deep learning (DL) is revolutionizing evidence-based decision-making techniques that can be applied across various sectors. Specifically, it possesses the ability to utilize two or more levels of non-linear feature transformation of the given data via representation learning in order to overcome limitations posed by large datasets. As a multidisciplinary field that is still in its nascent pha...

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Deep learning modelling techniques: current progress, applications, advantages, and challenges | Awareness Public Knowledge