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Artificial neural networks (ANNs) are a broad class of computational models loosely based on biological neural networks. They encompass feedforward NNs (including "deep" NNs), convolutional NNs, recurrent NNs, etc.
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Outlier vs Anomaly in Machine learning
What is the difference between Outlier and Anomaly in the context of machine learning. My understanding is that both of them refer to the same thing.