dpressel/dliss-tutorial
Tutorial for International Summer School on Deep Learning, 2019
This tutorial helps deep learning practitioners understand how to leverage pre-trained language models for various natural language processing tasks. It guides you through using pre-existing word embeddings and contextual embeddings, and then shows how to fine-tune these models for specific applications. Researchers, students, and engineers working with NLP will find this useful for getting hands-on experience with foundational techniques.
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Use this if you are a deep learning practitioner or student looking for hands-on experience with pre-trained word embeddings, contextual embeddings, and fine-tuning models for NLP tasks.
Not ideal if you are looking for an introduction to deep learning fundamentals from scratch or a ready-to-use application rather than a learning resource.
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Apr 04, 2022
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