Apprentissage dirigé
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teacher forcing
Teacher forcing is a method for quickly and efficiently training recurrent neural network models that use the ground truth from a prior time step as input.
It is a network training method critical to the development of deep learning language models used in machine translation, text summarization, and image captioning, among many other applications.
Source : L'apprentissage profond, Ian Goodfellow, Yoshua Bengio et Aaron Courville Éd. Massot 2018
