ErwanR123/Deep_Learning-Based_Cat_and_Dog_Image_Classifier_with_Interactive_Streamlit_Interface
View on GitHub ↗Related repositories →This project showcases the creation, training, and deployment of a custom convolutional neural network (CNN) to classify images of cats and dogs. It includes dataset cleaning, preprocessing, and model optimization with techniques like batch normalization and regularization. A Streamlit interface enables real-time image classification.
active 2025-01-16 → 2025-01-20 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 5 days from 2025-01-16 to 2025-01-20. Pushes: 6 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.
- Pushes
- Pull requests
- Issues
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Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| ErwanR123 | 6 | 6 | 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.