https://github.com/jonad/dog_detection_app
Identify dog breeds using Convolutional Neural Network.
https://github.com/jonad/dog_detection_app
convolutional-neural-networks keras neural-network numpy opencv-python pandas resnet-50 scikitlearn-machine-learning transfer-learning vgg19
Last synced: 8 months ago
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Identify dog breeds using Convolutional Neural Network.
- Host: GitHub
- URL: https://github.com/jonad/dog_detection_app
- Owner: jonad
- Created: 2017-11-08T11:48:25.000Z (almost 8 years ago)
- Default Branch: master
- Last Pushed: 2017-11-28T20:36:49.000Z (almost 8 years ago)
- Last Synced: 2024-12-27T12:09:40.811Z (10 months ago)
- Topics: convolutional-neural-networks, keras, neural-network, numpy, opencv-python, pandas, resnet-50, scikitlearn-machine-learning, transfer-learning, vgg19
- Language: Jupyter Notebook
- Homepage:
- Size: 1.29 MB
- Stars: 1
- Watchers: 2
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
## Convolutional Neural Networks
## Project: Write an Algorithm for a Dog Identification App
### Install
This project requires **Python 3.6** and the following Python libraries installed:
- [NumPy](http://www.numpy.org/)
- [Pandas](http://pandas.pydata.org/)
- [matplotlib](http://matplotlib.org/)
- [scikit-learn](http://scikit-learn.org/stable/)
- [keras](https://keras.io/backend/)
You will also need to have software installed to run and execute a [Jupyter Notebook](http://ipython.org/notebook.html)
### Run
In a terminal or command window, navigate to the top-level project directory `dogapp/` (that contains this README) and run one of the following commands:
```bash
ipython notebook dog_app.ipynb
```
or
```bash
jupyter notebook dog_app.ipynb
```
This will open the Jupyter Notebook software and project file in your browser.