UBC-NLP/dlnlp2019
UBC Deep Learning for Natural Language Processing Course (2019)
This resource provides a graduate-level introduction to deep learning methods specifically applied to Natural Language Processing (NLP) problems. It takes learners through how neural networks are trained, covers key architectures, and explores deep learning techniques for solving language problems at various levels. The primary users are graduate students or professionals with backgrounds in linguistics, computer science, or engineering who want to gain hands-on experience in developing advanced NLP solutions.
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Use this if you are a graduate student or professional seeking a comprehensive introduction to applying deep learning techniques to solve complex natural language understanding and generation tasks.
Not ideal if you are looking for an off-the-shelf software solution or lack basic understanding of linear algebra, calculus, probability, or Python programming.
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Nov 29, 2019
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