- Algorithms
- Artificial Neural Networks
- Deep Learning
- Tensorflow
- Computer Graphics
- Computer Vision
- Machine Learning Methods
- Feature Engineering
- Applied Machine Learning
- Machine Learning
- Image Analysis
- Artificial Intelligence
Deep Learning Applications for Computer Vision
Completed by Firas Saidani
January 20, 2024
22 hours (approximately)
Firas Saidani's account is verified. Coursera certifies their successful completion of Deep Learning Applications for Computer Vision
What you will learn
Learners will be able to explain what Computer Vision is and give examples of Computer Vision tasks.
Learners will be able to describe the process behind classic algorithmic solutions to Computer Vision tasks and explain their pros and cons.
Learners will be able to use hands-on modern machine learning tools and python libraries.
Skills you will gain
