intermediateCertificateFree
Computer Vision
by Ryan Holbrook · Kaggle
4.5(4,800 reviews)
250K+ enrolled4 hoursUpdated 2024-03
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 CNNs
Apply CNNs techniques to solve real-world problems
Understand the fundamentals and key concepts of image classification
Apply image classification techniques to solve real-world problems
About This Course
Build CNNs for image classification using Keras, covering convolution, pooling, data augmentation, and transfer learning.
Curriculum
Module 1: Computer vision & CNNs6 lessons
- Introduction to computer vision
- Computer vision in Practice
- Hands-on Exercise: Computer vision
- Introduction to CNNs
- CNNs in Practice
- Hands-on Exercise: CNNs
Module 2: Image classification & Keras6 lessons
- Introduction to image classification
- Image classification in Practice
- Hands-on Exercise: Image classification
- Introduction to Keras
- Keras in Practice
- Hands-on Exercise: Keras
Module 3: Transfer learning3 lessons
- Introduction to transfer learning
- Transfer learning in Practice
- Hands-on Exercise: Transfer learning
Instructor
Ryan Holbrook
Instructor at Kaggle
Pros & Cons
Pros
- Completely free to access
- Offers a certificate of completion
- Hands-on interactive exercises
- Taught by Ryan Holbrook
Cons
- Self-paced requires discipline
Free
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