Pattern Recognition Class Final Project - 2023 Fall
- Developed Python project for binary and multi-class classification tasks on MNIST dataset
- For binary classification, implemented linear classifiers including Gaussian and logistic regression with regularization
- For multi-class classification, utilized Gaussian multi-channel classifier and logistic regression with SoftMax
- Achieved accurate classification results through evaluation on training, validation, and test datasets, and demonstrated the application of hyperparameter optimization techniques
Project 2
Project 3