/Computer_Vision_Full_Course

📚 A comprehensive course covering everything from the basics to advanced concepts in computer vision. 🖼️✨

Primary LanguageJupyter NotebookMIT LicenseMIT

Computer_Vision_Full_Course

📚 A comprehensive course covering everything from the basics to advanced concepts in computer vision. 🖼️✨

Target Audience

This course is ideal for:

  • Beginners looking to understand the basics of computer vision.
  • Intermediate learners aiming to enhance their skills in image processing and deep learning.
  • Professionals seeking to apply computer vision in real-world projects.

Course Objectives

By the end of this course, you will be able to:

  • Grasp the fundamental concepts of image processing and computer vision.
  • Implement advanced techniques for object detection, segmentation, and classification.
  • Develop and deploy computer vision models using deep learning frameworks like TensorFlow and PyTorch.

Prerequisites

To get the most out of this course, you should have a basic understanding of:

  • Python programming
  • Linear algebra and calculus
  • Basic machine learning concepts

License

This project is licensed under the MIT License - see the LICENSE file for details.