Udacity - Deep Learning Nanodegree

Project 2: Dog Breed Classifier

In this project, I built a CNN abd Transfer Learning based deep learning mini-app that accepts any user-supplied image as input.

• If a dog is detected in the image, it will provide an estimate of the dog's breed.
• If a human is detected, it will provide an estimate of the dog breed that is most resembling.

The main artefacts are:

-dog_app.ipynb : Jupuyter notebook that goes through the process, including:

• Importing Datasets
• Detecting Humans
• Detecting Dogs
• Creating a CNN to Classify Dog Breeds (from Scratch)
• Create a CNN to Classify Dog Breeds (using Transfer Learning)
• Combine all previous steps into a unified system.
• Testing the system on real user-provided images of dogs and humans