A learning method that uses the correct data instead of using the output of the previous self as input. It solves the problem of slow learning due to the accumulation of errors in the later stages of the training process, but it also has the problem of not supplying the correct data one character at a time when it is actually used. Use Scheduled Sampling to randomly select your output and the correct answer: Samy Bengio+ 2015.
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