Skip to content

chetaspahuja/Dog_Breed_Classifier

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Dog_Breed_Classifier

Using Pre-Trained Classifier to identify Dog Breeds

This project was part of the AI-Programming with Python Nanodregree by Udacity.

Objectives

  1. Correctly identify which pet images are of dogs (even if breed is misclassified) and which pet images aren't of dogs.

  2. Correctly classify the breed of dog, for the images that are of dogs.

  3. Determine which CNN model architecture (ResNet, AlexNet, or VGG), "best" achieve the objectives 1 and 2.

  4. Consider the time resources required to best achieve objectives 1 and 2, and determine if an alternative solution would have given a "good enough" result, given the amount of time each of the algorithms take to run.

About

Using Pre-Trained Classifier to identify Dog Breeds

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published