- Classification Algorithms
- Model Evaluation
- Computer Vision
- Artificial Neural Networks
- Convolutional Neural Networks
- Tensorflow
- Deep Learning
- Applied Machine Learning
- Performance Tuning
- Image Analysis
- Machine Learning
Deep Learning Applications for Computer Vision
Completed by Karen Rivera
May 2, 2024
22 hours (approximately)
Karen Rivera'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
