TensorFlow Sequence-to-Sequence

What it does

None

tf-seq2seq is a general-purpose encoder-decoder framework for Tensorflow that can be used for Machine Translation, Text Summarization, Conversational Modeling, Image Captioning, and more. General Purpose : We initially built this framework for Machine Translation, but have since used it for a variety of other tasks, including Summarization, Conversational Modeling, and Image Captioning. As long as your problem can be phrased as encoding input data in one format and decoding it into another format, you should be able to use or extend this framework. Usability : You can train a model with a single command. Several types of input data are supported, including standard raw text. Reproducibility…from google.github.io

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