beginnerFree
Introduction to Deep Learning
by Alexander Amini · MIT
4.7(2,100 reviews)
200K+ enrolled10 weeksUpdated 2025-01
What You'll Learn
Understand the fundamentals and key concepts of deep learning
Apply deep learning techniques to solve real-world problems
Understand the fundamentals and key concepts of computer vision
Apply computer vision techniques to solve real-world problems
Understand the fundamentals and key concepts of NLP
Apply NLP techniques to solve real-world problems
About This Course
MIT's introductory course on deep learning methods with applications to computer vision, NLP, and generative models.
Curriculum
Module 1: Deep learning & Computer vision6 lessons
- Introduction to deep learning
- Deep learning in Practice
- Hands-on Exercise: Deep learning
- Introduction to computer vision
- Computer vision in Practice
- Hands-on Exercise: Computer vision
Module 2: NLP & Generative models6 lessons
- Introduction to NLP
- NLP in Practice
- Hands-on Exercise: NLP
- Introduction to generative models
- Generative models in Practice
- Hands-on Exercise: Generative models
Module 3: Reinforcement learning3 lessons
- Introduction to reinforcement learning
- Reinforcement learning in Practice
- Hands-on Exercise: Reinforcement learning
Instructor
Alexander Amini
Instructor at MIT
Pros & Cons
Pros
- Highly rated by students
- Completely free to access
- High-quality video lectures
- Taught by Alexander Amini
Cons
- No certificate provided
- May be too basic for experienced practitioners
- Self-paced requires discipline
Free
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