intermediateCertificate$49/mo
Deep Learning for Computer Vision with TensorFlow
by Laurence Moroney · Coursera
4.6(12,000 reviews)
200K+ enrolled4 weeksUpdated 2024-08
What You'll Learn
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 TensorFlow
Apply TensorFlow techniques to solve real-world problems
Understand the fundamentals and key concepts of CNNs
Apply CNNs techniques to solve real-world problems
About This Course
Build computer vision models using TensorFlow covering image classification, object detection, and image segmentation.
Curriculum
Module 1: Computer vision & TensorFlow6 lessons
- Introduction to computer vision
- Computer vision in Practice
- Hands-on Exercise: Computer vision
- Introduction to TensorFlow
- TensorFlow in Practice
- Hands-on Exercise: TensorFlow
Module 2: CNNs & Image classification6 lessons
- Introduction to CNNs
- CNNs in Practice
- Hands-on Exercise: CNNs
- Introduction to image classification
- Image classification in Practice
- Hands-on Exercise: Image classification
Module 3: Transfer learning3 lessons
- Introduction to transfer learning
- Transfer learning in Practice
- Hands-on Exercise: Transfer learning
Instructor
Laurence Moroney
Instructor at Coursera
Pros & Cons
Pros
- Offers a certificate of completion
- High-quality video lectures
- Taught by Laurence Moroney
- Well-structured curriculum
Cons
- Requires paid subscription
- Self-paced requires discipline
$49/mo
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