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CS231n Learning Notes
2 articles · Last updated 2026-05-29
CS231n: Deep Learning for Computer Vision course notes and Assignment notes.
Contents
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Notes
Image Classification with Linear Classifiers
Linear classifiers use learned weight matrices and biases to assign class scores, enabling fast inference but only handling linearly separable data.
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Notes
Regularization & Optimization
Regularization prevents overfitting by penalizing model complexity, while advanced optimizers like AdamW and learning rate schedules improve convergence and generalization in neural network training.