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Natural Language Processing with Deep Learning
by Christopher Manning · Stanford Online
4.9(3,100 reviews)
200K+ enrolled10 weeksUpdated 2024-04
What You'll Learn
Understand the fundamentals and key concepts of NLP
Apply NLP techniques to solve real-world problems
Understand the fundamentals and key concepts of word embeddings
Apply word embeddings techniques to solve real-world problems
Understand the fundamentals and key concepts of transformers
Apply transformers techniques to solve real-world problems
About This Course
Stanford's comprehensive NLP course covering word vectors, neural networks, transformers, and large language models.
Curriculum
Module 1: NLP & Word embeddings6 lessons
- Introduction to NLP
- NLP in Practice
- Hands-on Exercise: NLP
- Introduction to word embeddings
- Word embeddings in Practice
- Hands-on Exercise: Word embeddings
Module 2: Transformers & Attention6 lessons
- Introduction to transformers
- Transformers in Practice
- Hands-on Exercise: Transformers
- Introduction to attention
- Attention in Practice
- Hands-on Exercise: Attention
Module 3: Language models3 lessons
- Introduction to language models
- Language models in Practice
- Hands-on Exercise: Language models
Instructor
Christopher Manning
Instructor at Stanford Online
Pros & Cons
Pros
- Highly rated by students
- Completely free to access
- High-quality video lectures
- Taught by Christopher Manning
Cons
- No certificate provided
- Requires significant prior knowledge
- Self-paced requires discipline
Free
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