Introduction to Computer Vision

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- 51%

200.00 99.00

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Access

Access on mobile and PC

Content

Live Video Classes

Date

Oct 17 – Oct 22

Time

8:00 PM to 9:00 PM

Benefits

E-Certificate, Doubt Clearance, Live Interaction

Associated Courses

Computer vision is a rapidly popularized field of artificial intelligence that is becoming increasingly used in technology industries and startups. Python basic knowledge is required for this workshop

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Day – 1

  1. Traditional Computer Vision methodologies
  2. Computer vision in our day-to-day life.
  3. History of Computer vision
  4. What’s an image?
  5. Image Transformations.
  6. Sobel Filters.

 

Day – 2

  1. OpenCV Hands-On
  2. Reading Image
  3. Writing on Image
  4. Background Subtraction
  5. Invisible clock
  6. Image Transformations
  7. Face Detection
  8. Template Matching
  9. On Air-Drawing

Day – 3

  1. Convolutional Neural Networks
  2. Intro Machine Learning
  3. How CNN Works
  4. Convolution 
  5. Pooling
  6. Strides
  7. Browser Demo’s
  8. Basic CNN Implementation
  9. CNN Architectures overview
  10. 2012-AlexNet
  11. 2014-VGGNet
  12. 2015-ResNet
  13. 2020-FixEfficientNet-L2.

 

Day – 4

  1. Computer Vision Project Workflow. (Tensorflow Implementation)
  2. Data Collection
  3. Data Pre-processing
  4. Data Augmentation
  5. Splitting data
  6. Training model
  7. Evaluating model
  8. Transfer Learning

 

Day – 5

  1. Computer Vision Application (Advanced concepts)
  2. Object Detection 
  3. One-Shot Learning 
  4. Face Recognition 
  5. Pose Estimation
  6. Image Segmentation 
  7. Image Captioning 
  8. Further Learning Resource

About the Instructor:

Hi, I am Maithreyan Kesavan. I am a Machine learning Facilitator, and I have conducted hands-on ml workshops in institutions across the nation.
Building and organizing Tensorflow User Group Coimbatore. Following are my achievements

  • Facilitator – Explore ML academy program google AI

  • Co-organizer TFUG
  • 2 Years of Experience in ML

 

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Introduction to Computer Vision
Introduction to Computer Vision

200.00 99.00

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