My assignment solutions for CS231n - Convolutional Neural Networks for Visual Recognition
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Updated
Dec 7, 2022 - Jupyter Notebook
My assignment solutions for CS231n - Convolutional Neural Networks for Visual Recognition
This repository contains my solutions to the assignments for Stanford's CS231n "Convolutional Neural Networks for Visual Recognition" (Spring 2020).
Note and Assignments for CS231n: Convolutional Neural Networks for Visual Recognition
The project performs a comparative study between traditional Machine Learning approaches (using HOG and LBP feature descriptors with SVM, KNN, and Random Forest classifiers) and modern Convolutional Neural Networks (CNN) to identify individuals wearing masks versus those without masks.
I have used opencv to build applaction. I have used haar-cascade algorithm to place filter on face
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