Introduction to Computer Vision (Markdown)
Histogram Equalisation : slides (html)
Meanshift : slides (html)
Linear Algebra Formulas : slides (html)
Computer Vision with Machine Learning : slides (html) + notes
Loss Functions : slides (html)
Backpropagation : slides (html)
Machine Design: slides (html)
Keras Example CNN for MNIST classification : notes (html)
Transformers : notes (html)
Principal Component Analysis : notes (html)
PCA with Matlab: notes (html)
DFFD and DIFS: notes (html)