sandykhot10/Cat-vs.-Dog-Classification-Using-Convolutional-Neural-Networks
View on GitHub ↗Related repositories →This project focuses on classifying images of cats and dogs using a Convolutional Neural Network (CNN). The model is built with TensorFlow and Keras, and leverages deep learning techniques to accurately distinguish between images of cats and dogs. The project demonstrates the use of CNNs for image classification tasks and includes data preprocess.
active 2024-08-29 → 2024-08-29 (UTC)
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Line chart, 1 days from 2024-08-29 to 2024-08-29. Pushes: 1 total, peak 1 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
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| sandykhot10 | 1 | 1 | 0 | 0 |
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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.