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cat-classifier

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Project for CS 171 Intro to ML, Fall 2025. A machine learning project comparing CNN and Logistic Regression models for cat breed classification. Uses PyTorch to train on image datasets with data augmentation, exploring the balance between dataset complexity and model performance to identify visual features that distinguish different cat breeds.

  • Updated Dec 8, 2025
  • Jupyter Notebook

An AI-powered Cat & Dog image classifier built with Google Teachable Machine and TensorFlow.js for the Class 12 Artificial Intelligence Practical (Activity 3.2)

  • Updated Jul 3, 2026
  • CSS

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