Description:

This course covers the fundamentals of deep learning for computer vision, focusing on image basics, convolutional neural networks (CNN), edge detection, CNN architectures, transfer learning, object detection, and segmentation. Learn to understand and apply advanced techniques in computer vision to solve real-world problems.

Key Highlights:

• 25 Live Sessions
• 60+ hours of content
• Live doubt clearance
• Certificate on completion
• Hands-on Assignments
• 1 Capstone Project
• Build a Self-driving Car

What you will learn:

• Understanding CNN
  Explore convolutional neural networks and their applications in computer vision
• Object Detection
  Learn to detect and localize objects in images using state-of-the-art techniques
• Segmentation Techniques
  Understand how to segment and classify image regions for advanced analysis
• Transfer Learning
  Apply transfer learning to leverage pre-trained models for efficient computer vision tasks

Course Curriculum

https://docs.google.com/document/d/1tz6xEg4-UbCYCjqZZuK3SPgAENCfDvI7GDEx3CQG0T8/edit?usp=sharing

Course Schedule

https://docs.google.com/spreadsheets/d/1JtquJZFgiKN3NXkB1Cdi4xARJfPIGV1j6CR2KUgQyG8/edit?usp=sharing

FAQs

https://docs.google.com/document/d/1yXP00lHaBsODCpSyVYOPL9xaLflf9dvjB9vzoVowKEY/edit?usp=sharing

Have Questions?

Email us at support@campusx.in