To implement teacher forcing in Keras for training sequence models, provide the target sequence as part of the input during training.
Here is the code example you can refer to:
In the above code, we are using the following:
- Teacher Forcing: The target (decoder_input) is provided to the decoder during training to predict the next token.
- Model Inputs: Separate encoder and decoder inputs enable passing ground truth during training.
- Training: Optimizes the model using the decoder's output and the true target sequence.
Hence, you can implement teacher forcing in Keras for training sequence models.