CNN Project [Udacity Deep Learning Nanodegree]

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.

As a CS minor student of IIT Kharagpur and a long-time self-taught learner, I have completed many CS related MOOCs on Coursera, Udacity, Udemy, and Edx. I do understand the hard time you spend on understanding new concepts and debugging your program. Here I released these solutions, which are only for your reference purpose. It may help you to save some time. And I hope you don't copy any part of the code (the programming assignments are fairly easy if you read the instructions carefully), see the solutions before you start your own adventure. This Project is almost one of the simplest Machine Learning Project I have ever taken, but the simplicity is based on the fabulous course content and structure. It's a treasure given by Udacity team.

Convolutional Networks [https://classroom.udacity.com/nanodegrees/nd101-innl/parts/2f2e89f4-2e40-46ac-8874-30cf49daf23c]

Dog Breed Identification (https://www.kaggle.com/c/dog-breed-identification)