Lectures
Lecture materials and slides for the University of Oxford's 2017 advanced course on Deep Natural Language Processing.
What is Lectures?
Oxford Deep NLP 2017 Lectures is a collection of educational materials from an advanced university course on Deep Natural Language Processing. It provides lecture slides, videos, and reading lists covering topics from word embeddings and RNNs to attention mechanisms, speech recognition, and question answering. The course addresses the limitations of traditional symbolic AI for language processing and demonstrates how neural network-based statistical techniques have revolutionized the field.
Graduate students, researchers, and practitioners in machine learning and NLP who want a structured, advanced curriculum combining theoretical foundations with practical applications. It's particularly valuable for those seeking to understand the 2017 state-of-the-art in deep learning for language.
This collection offers a unique, high-quality curriculum developed by Oxford University and DeepMind researchers, providing both mathematical rigor and practical insights. Unlike generic tutorials, it presents a complete university course with coherent progression from fundamentals to advanced topics, accompanied by expert-curated reading materials.
Overview
Oxford Deep NLP 2017 course
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