What is Teacher Forcing for Recurrent Neural Networks? - Machine Learning Mastery

Teacher forcing is a method for quickly and efficiently training recurrent neural network models that use the output 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. In this post, you will discover the teacher forcing as a method for training recurrent neural networks. What is Teacher Forcing for Recurrent Neural Networks? Photo by Nathan Russell, some rights reserved.