This is my first project in AI programming with Python Nanodegree program by Udacity
Project Scope:
In this project we had the following objectives:
- Identifying which pet images are of dogs and which pet images aren't of dogs
- Classifying the breeds of dogs, for the images that are of dogs
- Determine which CNN model architecture (ResNet, AlexNet, or VGG16), "best" achieve the objectives 1 and 2.
The project meets the specifications outlined in the 'Results Table', which identified:
Model VGG was the superior CNN Architecture Model - able to classify "dogs" and "not-a-dog" with 100% accuracy and had the best performance regarding breed classification with 100% accuracy.