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Results for "object+recognition"
DeepLearning.AI
Skills you'll gain: Artificial Neural Networks, Computer Vision, Deep Learning, Machine Learning, Tensorflow, Machine Learning Algorithms, Machine Learning Software, Applied Machine Learning, Computer Graphic Techniques, Visualization (Computer Graphics)
UNSW Sydney (The University of New South Wales)
Skills you'll gain: Machine Learning, Artificial Neural Networks
Coursera Project Network
Skills you'll gain: Deep Learning
MathWorks
Skills you'll gain: Computer Vision, Matlab
Michigan State University
Skills you'll gain: Creativity, Operations Management
Columbia University
Skills you'll gain: Computer Vision, Mathematics, Algebra, Algorithms, Computational Thinking
University of Alberta
Skills you'll gain: Computer Programming, Design and Product, Programming Principles, Software Architecture, Software Engineering, Systems Design, Application Development, Computer Architecture, Product Design, Software Engineering Tools
Columbia University
Skills you'll gain: Computer Vision
University of London
Coursera Project Network
Skills you'll gain: Computer Programming
University of Toronto
Skills you'll gain: Machine Learning, Applied Machine Learning, Computer Programming, Python Programming, Artificial Neural Networks, Computer Vision
Vanderbilt University
Skills you'll gain: Communication
In summary, here are 10 of our most popular object+recognition courses
- Advanced Computer Vision with TensorFlow:Â DeepLearning.AI
- Remote Sensing Image Acquisition, Analysis and Applications:Â UNSW Sydney (The University of New South Wales)
- Deep Learning with PyTorch : Object Localization:Â Coursera Project Network
- Introduction to Computer Vision:Â MathWorks
- Camera Control:Â Michigan State University
- First Principles of Computer Vision:Â Columbia University
- Object-Oriented Design:Â University of Alberta
- Features and Boundaries:Â Columbia University
- Object-Oriented Programming in C++: Functions:Â University of London
- Java Classes and Objects:Â Coursera Project Network
