Course , Free Course ,

Computer Vision Course

Get all the necessary knowledge to start your computer vision career
Course
Curriculum

What will you learn?

  1. Computer Vision Applications
  2. Introduction to CNN (Convolutional Neural Network)
  3. Neural Networks
  4. Forward Propagation
  5. Backward Propagation
  6. Kernel
  7. Strides
  8. Padding
  9. Pooling Layer
  10. Fully Connected Layer
  11. What is Open CV
  12. Image Processing
  13. Video Processing
  14. Video Analysis
  15. Feature Detection

Requirement

This course is based on Python, so it requires an understanding of that.

Description

A warm welcome to the Computer Vision course.


Computer vision is an advanced Artificial intelligence field. This enables the computer to gain high-level understanding from digital images or videos.
There are many excellent applications of computer vision. For example, in COVID-19 time, the number of customers inside a store can be counted, or the social distancing between customers can be measured; Computer vision is even used for detecting covid-19 cases from the chest X-ray. Apart from that, the Facebook photo auto-tagging feature and image gender transformation used by FaceApp are other example s of usage of computer vision technology.

This computer vision Training will take you through various concepts such as – Convolutional Neural Network (CNN), Neural Networks, Forward & Backward Propagation, CNN architecture – Kernel, Strides, Padding. We will be using the OpenCV library and will see its usage for Image Processing, Video Processing, Video Analysis, and Feature Detection.

So, let’s start, and we will see you in the course.

Who this course is for?

1. College Freshers
2. Anyone who is willing to learn Computer vision in simple and easy steps

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Course Includes

  • 6 Lessons
  • 29 Topics
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