Modern Computer Vision™ PyTorch, Tensorflow2 Keras & OpenCV4
AI and Deep Learning are transforming industries, and one of the most intriguing parts of this AI revolution is in computer vision! But what is computer vision, and why is it so exciting? What if computers could comprehend what they saw through cameras or images? Medical imaging, self-driving cars, security monitoring, analysis, safety, farming, industry, and manufacturing are just a few of the uses for such technology! The list goes on and on. Computer vision employees are in high demand, and specialists in the area sometimes earn $200,000 or more per year. Getting started in this sector, however, is not simple. There is an abundance of knowledge, most of it old, and a variety of tutorials that fail to teach the fundamentals. As a result, newcomers have no notion of where to begin.
This course seeks to address all of these issues! No messy installs, all code works straight away. 27+ hours of current and useful computer vision theory, with example code from PyTorch and Tensorflow Keras, were used to teach! This is one of the greatest online courses to learn computer vision that you should try.
Who this course is for:
- College/University Students of all levels Undergrads to PhDs (very helpful for those doing projects)
- Software Developers and Engineers looking to transition into Computer Vision
- Startup founders looking to learn how to implement their big idea
- Hobbyists and even high schoolers looking to get started in Computer Vision
Requirements:
- No programming experience (some Python would be beneficial)
- Basic high school mathematics
- A broadband internet connection
Udemy rating: 4.7/5
Enroll here: https://www.udemy.com/course/modern-computer-vision/
