Machine learning & AI
Computer Vision
5 self-contained study topics — notes, diagrams, formulas, and worked examples for exams and GATE.
Topics
- Image Processing BasicsFor B.Tech exams, image processing basics is tested for definition plus one direct derivation or numerical; align notation with Tan, Steinbach & Kumar (Introduction to Data Mining).
- Feature ExtractionFor B.Tech exams, feature extraction is tested for definition plus one direct derivation or numerical; align notation with Tom Mitchell (Machine Learning).
- CNN ArchitecturesFor B.Tech exams, cnn architectures is tested for definition plus one direct derivation or numerical; align notation with Bishop (Pattern Recognition and Machine Learning).
- Object DetectionFor B.Tech exams, object detection is tested for definition plus one direct derivation or numerical; align notation with Goodfellow, Bengio & Courville (Deep Learning).
- Image SegmentationFor B.Tech exams, image segmentation is tested for definition plus one direct derivation or numerical; align notation with Tan, Steinbach & Kumar (Introduction to Data Mining).