2019/11/19
Building an image classifier application
In this project, I trained an image classifier to recognize different species of flowers. I used a dataset of 102 flower categories. This project was the final project that had to be submitted in order to graduate from Udacity's AI Programming with Python Nanodegree program:https://www.udacity.com/course/ai-programming-python-nanodegree--nd089
I used Python and Pytorch.
Dataset: http://www.robots.ox.ac.uk/~vgg/data/flowers/102/index.html
Label Mapping: cat_to_name.json
functions.py train.py predict.py workspace_utils.py
This project would not have been possible without the help and guidance received from Udacity's course: AI Programming with Python. Also, there are a few blogs/ articles/ websites of individuals referenced in the .html file that helped me immeasurably to complete this project.
The parts of this project where reference is made to third-party blogs and/or websites: these individuals own the copyright of the segments of code that have been referenced. This project is the copyright of Udacity.