Cat vs Dog Classification using CNN. This project implements a CNN to classify images of cats and dogs. It was developed as a learning exercise to explore deep learning, image classification, and model evaluation techniques. Features Dataset: www.kaggle.com/c/dogs-vs-cats/data Framework: TensorFlow and Keras Accuracy: 90.63%
active 2024-12-02 → 2024-12-02 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1 days from 2024-12-02 to 2024-12-02. Pushes: 2 total, peak 2 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.
- Pushes
- Pull requests
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- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| YugankDabas | 2 | 2 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
No issue or PR events — this repo's activity is pushes only.
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.