intermediateCertificate$49/mo
Deep Learning Specialization
by Andrew Ng · Coursera
4.9(180,000 reviews)
1M+ enrolled5 monthsUpdated 2024-06
What You'll Learn
Understand the fundamentals and key concepts of neural networks
Apply neural networks techniques to solve real-world problems
Understand the fundamentals and key concepts of CNNs
Apply CNNs techniques to solve real-world problems
Understand the fundamentals and key concepts of RNNs
Apply RNNs techniques to solve real-world problems
About This Course
Five-course specialization covering neural networks, CNNs, RNNs, and structuring ML projects.
Curriculum
Module 1: Neural networks & CNNs6 lessons
- Introduction to neural networks
- Neural networks in Practice
- Hands-on Exercise: Neural networks
- Introduction to CNNs
- CNNs in Practice
- Hands-on Exercise: CNNs
Module 2: RNNs & Sequence models6 lessons
- Introduction to RNNs
- RNNs in Practice
- Hands-on Exercise: RNNs
- Introduction to sequence models
- Sequence models in Practice
- Hands-on Exercise: Sequence models
Module 3: ML strategy3 lessons
- Introduction to ML strategy
- ML strategy in Practice
- Hands-on Exercise: ML strategy
Instructor
Andrew Ng
Instructor at Coursera
Pros & Cons
Pros
- Highly rated by students
- Offers a certificate of completion
- High-quality video lectures
- Taught by Andrew Ng
Cons
- Requires paid subscription
- Self-paced requires discipline
$49/mo
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