Transfer Learning for Natural Language Processing

Build custom NLP models in record time by adapting pre-trained machine learning models to solve specialized problems.

Summary
In Transfer Learning for Natural Language Processing you will learn:

Fine tuning pretrained models with new domain data
Picking the right model to reduce resource usage
Transfer learning for neural network architectures
Generating text with generative pretrained transformers
Cross-lingual transfer learning with BERT
Foundations for exploring NLP academic literature

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