Teacher Forcing in Neural Networks
#machinelearning #artificialintelligence #deeplearning
"Teacher Forcing" in neural networks refers to a training technique commonly used in sequence-to-sequence models, such as those involving recurrent neural networks (RNNs) or long short-term memory networks (LSTMs). In this approach, during the training phase, the correct or expected output at each time step is provided as an input to the model, regardless of its own previous predictions.