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2denata/Animal-CNN-Classifier

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A Convolutional Neural Network (CNN) project that classifies images of animals (cat, dog, and tiger). Built with TensorFlow and Keras, the model uses image augmentation to improve accuracy. The dataset consists of labeled animal images, and the model can predict the correct animal class.

active 2024-09-052024-09-06 (UTC)

Complete coverage26,671 / 26,671 hourly files (100%) · 2 absent upstream2023-08-152026-08-30 (UTC)
Events
6
Pushes
4
Pull requests
0
Issues
0
Stars
0
Forks
0

Activity over time

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Line chart, 2 days from 2024-09-05 to 2024-09-06. Pushes: 4 total, peak 3 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.

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Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

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2denata4400

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Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.