This is the second project for Introduction to Machine learning with TensorFlow Nanodegree provided by Udacity. In this project, a neural network was trained to recognize different types of flowers using transfer learning.
This project requires python 3.x and the following python libraries:
- Numpy
- Panda
- Matplotlib
- Tensonflow
- Tensorflow Hub
- GPU available
You will also need to have software that runs and executes an iPython Notebook.
This project template has been provided by Udacity. Some code has already been implemented, and I implemented additional functionality to successfully complete the project. The images used in the project are located in folder test_images. The label_map file maps each flower number to the corresponding flower name.
The solutions released in this project are only for reference purposes.