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Training Sampler

Explore the decoding process during Seq2Seq model training by learning to create a TrainingSampler object. Understand how to use ground truth embeddings and sequence lengths to guide decoding, preparing you to implement effective training decoders in NLP tasks.

Chapter Goals:

  • Learn about the decoding process during training

  • Create a TrainingSampler object to use for decoding

A. Decoding during training

During training, we have access to both the input and output sequences of a training pair. This means that we can use the output sequence's ground truth tokens as input for the decoder.

We'll get into the specifics of TensorFlow decoding, i.e. using the ...