Dog-Breed-Classifier:

Project Overview:

This repo contains all my work for Project 1 of Udacity's Neural Network Foundation Nanodegree Program. In this project, I have learned how to build a pipeline to process real-world, user-supplied images. Given an image of a dog, my algorithm will identify an estimate of the canine’s breed. If supplied an image of a human, the code will identify the resembling dog breed. Along with exploring state-of-the-art CNN models for classification, I have made important design decisions about the user experience for our app. By completing this lab, I understood the challenges involved in piecing together a series of models designed to perform various tasks in a data processing pipeline. Each model has its strengths and weaknesses, and engineering a real-world application often involves solving many problems without a perfect answer.