A reservoir computing system for temporal data classification and forecasting

Over the past decade or so, deep-learning approaches have become increasingly efficient in processing static data such as images. However, these techniques have been found to be somewhat less effective in analyzing temporal data, such as videos, human speech and other streaming inputs. This is mainly because processing temporal data requires bigger artificial neural networks, which are more expensive to train and implement.

from News on Artificial Intelligence and Machine Learning https://ift.tt/2PkN6Om

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