Wild Cat Classification project using EfficientNet, Inception, and TinyVGG. Trained on custom dataset and pre-trained weights for improved accuracy.
✨This is a binary Cat Classifier😻 made by hard coding Neural Networks in Python without using frameworks such as Tensorflow or keras✨
A 4 layer Neural Network to predict if an image is of cat or not.
Catofication is a Simple CNN and Logistic regression applied model using JPEN stack tech for Cat & Dog classification using user given input image.
Web app to better discover your cat origin
Android App to Classify between My Cat, namely Jojo and Other Type of Cat.
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.
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