This project explores image classification on the PROPS Classification Dataset. It includes K-Nearest Neighbors, Support Vector Machine, and Softmax classifiers, and two-layer and multi-layer neural networks. The goal is to build a machine learning pipeline, experiment with optimizers, and evaluate model performance.
machine-learning neural-networks image-classification support-vector-machines softmax-classifier two-layer-neural-network optimizers k-nearest-neighbor-classifier multi-layered-neural-network props-classification
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Updated
Aug 18, 2024 - Jupyter Notebook