课程: TensorFlow: Working with NLP

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课程: TensorFlow: Working with NLP

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- [Jonathan] We've covered a lot in this course and looked at transformers for NLP with a focus on BERT. We've seen how BERT is used in production, but also the problems of bias and prejudice with BERT and GPT-2. We looked at transfer learning, which is this almost magical technique that did wonders for computer vision, and it's doing the same for NLP. And finally, we looked at the BERT architecture, working from tokenization all the way to self-attention. Go ahead and either experiment with BERT and look at other use cases such as named entity recognition or question answering. Alternatively, you could try out some of the other BERT variants such as BERT-Large, or DistilBERT. You now know enough to try out some other models in the TensorFlow hub. I hope you found this course helpful. Thanks for watching, and I'd love to hear back from you and to connect via LinkedIn. (speaking in foreign language)

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