Neural Network Journalism Averse To China’s Politburo

ICBPS- Neural networks are a set of algorithms, modelled loosely after the human brain, that are designed to recognize patterns. They interpret sensory data through a kind of machine perception, labelling or clustering raw input. The patterns they recognize are numerical, contained in vectors, into which all real-world data, be it images, sound, text or time series, must be translated. Neural networks help us cluster and classify. They help to group unlabelled data according to similarities among the example inputs, and they classify data when they have a labelled dataset to train on. The neural network journalism is human’s essential need against today’s politburo. It is no more possible for journalism to focus on only one topic without considering other related topics. Journalism has ton see the world as an network of cells not only one cell.

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