Computer Vision

Computer Vision / AIO

0.00JOD

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Description

This course provides an introduction to computer vision including fundamentals of image formation,

camera imaging geometry, feature detection and matching,

stereo, motion estimation and tracking,

image classification and scene understanding.

 

Course Videos


Outcomes

At the end of the course,

the students will be able to: Implement fundamental image processing techniques required for computer vision. Understand Image formation process.

Develop computer vision applications.

Meet Your Instructor

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Mona Qasem qasem

AIO
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  • Sections 16
  • Lessons 16
  • Duration 30
  • Language Arabic
  • Video Subtitle Link
  • Certificate False

Course Syllabus

Chapter 1

Lessons

  • 1 - Orientation Session
Chapter 2

Lessons

  • 1 - Deeo Neural Networks ANN
Chapter 3

Lessons

  • 1 - Stochastic Gradient Descent
Chapter 4

Lessons

  • 1 - Overfitting and Underfitting
Chapter 5

Lessons

  • 1 - Live Session Link
Chapter 6

Lessons

  • 1 - Dropout and Batch Normalization
Chapter 7

Lessons

  • 1 - Binary Classification
Chapter 8

Lessons

  • 1 - Live Session Link
Chapter 9

Lessons

  • 1 - The Convolutional Classifier
Chapter 10

Lessons

  • 1 - Convolution and ReLU
Chapter 11

Lessons

  • 1 - Live Session link
Chapter 12

Lessons

  • 1 - Maximum Pooling
Chapter 13

Lessons

  • 1 - The Sliding Window , Custom Convnets
Chapter 14

Lessons

  • 1 - Live Session Link
Chapter 15

Lessons

  • 1 - Data Augmentation , Object Detection YOLO5
Chapter 16

Lessons

  • 1 - Live Session Link