This course focuses on using attention models in Natural Language Processing. You will learn how to build models that can focus on specific parts of an input sequence to improve performance on tasks like machine translation and text summarization.
Learn natural language processing for free with Hugging Face, Kaggle, and Stanford courses. Covers transformers, text classification, and modern NLP techniques.
From tokenization to transformers. Build production NLP systems for text classification, named entity recognition, sentiment analysis, and question answering.
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