Final project for the AI Programming with Python nanodegree through Udacity.
This application trains a deep learning model on a dataset of different species of flowers. Once trained, predict.py predicts the flower name from an image along with the probability of that name.
Then the trained model can be used to classify new images.
This project requires Python and the following Python libraries installed:
- PyTorch
- ArgParse
- Jason
- PIL
- NumPy
- Pandas
- matplotlib
- scikit-learn You will also need to have software installed to run and execute an iPython Notebook
Renee Raven
This project is licensed under the MIT License - see the LICENSE.md file for details