Nacriema/Neural-Network-Interpretation

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Created over 2 years ago
Updated over 2 years ago

Nacriema/Neural-Network-Interpretation

Nacriema

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Some Class Activation Map methods implemented in Pytorch for CNNs

Loss-Functions-For-Semantic-Segmentation

My own implementation for some sort of loss functions that have been used for segmentation task.

Robust_Face_Recognition

Implementation for the paper: Improving Shadow Suppression for Illumination Robust Face Recognition (Wuming Zhang, Xi Zhao, Jean-Marie Morvan and Liming Chen, Senior Member, IEEE)

nacriema.github.io

My personal website

DecisionTree_ID3

My Implementation of ID3

K-means-Clustering-

A bunch of things that I learned about Kmeans

Jupyter Notebook

Optimizer-Visualization

Visualize Pytorch's optimizers.

Jupyter Notebook

Power-Line-Segmentation

A hybrid method for power line segmentation task