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Udacity/Deep Learning Nano Degree/ Dog Breed Classification

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pytorch pytorch-tutorial deep-learning deep-neural-networks cnn-model udacity-nanodegree

udacity-deep_learning_nd-project_two-dog_breed_classifier's Introduction

Dog Breed Classifier in PyTorch

This is a repo for the Dog Breed Classifier Project in Udacity Nanodegree It is implemented by using PyTorch library.

Project Overview

Welcome to the Convolutional Neural Networks (CNN) project! In this project, you will learn how to build a pipeline to process real-world, user-supplied images. Given an image of a dog, your 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, you will make important design decisions about the user experience for your app. Our goal is that by completing this lab, you understand 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. Your imperfect solution will nonetheless create a fun user experience!

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