Deep Learning for Natural Language Processing (Self-Study)

In this course, we will explore the fundamentals and principles of Natural Language Processing (NLP). You'll learn about different approaches used in NLP, including statistical methods and neural networks. The focus will be on applying these techniques to real-world tasks and building systems to solve interdisciplinary problems involving NLP.

Reiter

Welcome to the Deep Learning for NLP self-study class!
Get ready to explore how machines understand and generate human language using deep learning. This course will guide you to become proficient in many topics of Deep Learning and NLP—from traditional approaches to cutting-edge models like transformers that power today's most advanced AI systems.

How to study this course?
Each lecture is broken down into short, focused videos that explain key concepts in an accessible way. To support different learning styles, we offer a variety of study tools: interactive notebooks for hands-on practice, flashcards for quick revision, and quizzes to test your understanding. Whether you're a visual learner or prefer diving into code, there's something here for you.