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An example of neural network model using “soft parameter” sharing. Two networks are trained in parallel for each individual task. The soft parameter sharing is done by introducing a penalty function, which prevents neural network weights in both models from differing greatly, as well as by regularising neural network features at the last layer. Reprinted from ref. [25] under the Creative Commons license CC‐BY 4.0.
