Noise, i.e., superimposing random fluctuations over signals, generally makes it more difficult to interpret information. Anyone who has tried to follow the news while listening to a radio program with a fuzzy signal knows that from their own experience. However, neural networks actually seem to benefit from a slight amount of noise being mixed into the data to be processed. Read more …
Random noise improves performance of AI systems
