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Master's In Artificial Intelligence - May'25 Batch - NX
Course content
19 sections | 39 lessons
Expand all sections
Link, Passcode & Updates Section
1 Lessons
Introduction and Installation VS Code
2 Lessons
Introduction and Installation of Computer Vision
2 Lessons
Image Basic and shapes
2 Lessons
Mouse actions and blending
1 Lessons
Image Thresholding and Morphological Operations
2 Lessons
Image Smoothing, Histograms and Video Basics
2 Lessons
CV2 (Object, Corner, Edge, Grid and Contour Detection, Template Matching)
2 Lessons
CV2 (Feature Detection and Watershed Algorithms)
2 Lessons
CV2 (Face Detection and Object Tracking)
2 Lessons
CV2 (Object Tracking, Optical Flow, Mean Shift and Cam Shift)
2 Lessons
Object Tracking API, Count Fingers and Face Recognition
3 Lessons
DL (Introduction to Tensor Flow and Artificial Neural Networks)
2 Lessons
Deep Learning - Convolutional neural network
3 Lessons
Recurrent Neural Network
2 Lessons
YOLO Modeling
3 Lessons
YOLO Modelling and Streamlit Basics
2 Lessons
Introduction to Streamlit
2 Lessons
Yolo model deployment with Streamlit
2 Lessons
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