advancedFree
Deep Multi-Task and Meta Learning
by Chelsea Finn · Stanford Online
4.7(1,100 reviews)
60K+ enrolled10 weeksUpdated 2024-04
What You'll Learn
Understand the fundamentals and key concepts of meta-learning
Apply meta-learning techniques to solve real-world problems
Understand the fundamentals and key concepts of multi-task learning
Apply multi-task learning techniques to solve real-world problems
Understand the fundamentals and key concepts of few-shot learning
Apply few-shot learning techniques to solve real-world problems
About This Course
Stanford course on multi-task learning, meta-learning, few-shot learning, and curriculum learning for neural networks.
Curriculum
Module 1: Meta-learning3 lessons
- Introduction to meta-learning
- Meta-learning in Practice
- Hands-on Exercise: Meta-learning
Module 2: Multi-task learning3 lessons
- Introduction to multi-task learning
- Multi-task learning in Practice
- Hands-on Exercise: Multi-task learning
Module 3: Few-shot learning3 lessons
- Introduction to few-shot learning
- Few-shot learning in Practice
- Hands-on Exercise: Few-shot learning
Module 4: Deep learning3 lessons
- Introduction to deep learning
- Deep learning in Practice
- Hands-on Exercise: Deep learning
Instructor
Chelsea Finn
Instructor at Stanford Online
Pros & Cons
Pros
- Highly rated by students
- Completely free to access
- High-quality video lectures
- Taught by Chelsea Finn
Cons
- No certificate provided
- Requires significant prior knowledge
- Self-paced requires discipline
Free
Enroll Now