- Image Analysis
- Artificial Intelligence and Machine Learning (AI/ML)
- Computational Thinking
- Convolutional Neural Networks
- Psychology
- Computer Graphics
- Computer Vision
- Deep Learning
- Artificial Neural Networks
Computational Vision
Completed by SACHIN SUKHADEV BIRAMBOLE
May 18, 2021
8 hours (approximately)
SACHIN SUKHADEV BIRAMBOLE's account is verified. Coursera certifies their successful completion of Computational Vision
What you will learn
Apply various models of human and machine vision and discuss their limitations.
Demonstrate the geon model of object recognition and its limitations.
Argue the benefits and drawbacks of the symbolist and visualist perspectives of mental imagery.
Recognize the single layer and multi-layer perceptron neural network models of artificial intelligence.
Skills you will gain
