Use a Pre-trained Image Classifier to Identify Dog Breeds

Correctly identify which pet images are of dogs (even if breed is misclassified) and which pet images aren't of dogs.
Correctly classify the breed of dog, for the images that are of dogs.
Determine which CNN model architecture (ResNet, AlexNet, or VGG), "best" achieve the objectives 1 and 2.
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.

Name		Name	Last commit message	Last commit date
Latest commit History 7 Commits
__pycache__		__pycache__
pet_images		pet_images
uploaded_images		uploaded_images
.DS_Store		.DS_Store
README.md		README.md
adjust_results4_isadog.py		adjust_results4_isadog.py
adjust_results4_isadog_hints.py		adjust_results4_isadog_hints.py
alexnet_pet-images.txt		alexnet_pet-images.txt
alexnet_uploaded-images.txt		alexnet_uploaded-images.txt
calculates_results_stats.py		calculates_results_stats.py
calculates_results_stats_hints.py		calculates_results_stats_hints.py
check_images.py		check_images.py
classifier.py		classifier.py
classify_images.py		classify_images.py
classify_images_hints.py		classify_images_hints.py
dognames.txt		dognames.txt
get_input_args.py		get_input_args.py
get_input_args_hints.py		get_input_args_hints.py
get_pet_labels.py		get_pet_labels.py
get_pet_labels_hints.py		get_pet_labels_hints.py
imagenet1000_clsid_to_human.txt		imagenet1000_clsid_to_human.txt
print_functions_for_lab_checks.py		print_functions_for_lab_checks.py
print_results.py		print_results.py
print_results_hints.py		print_results_hints.py
resnet_pet-images.txt		resnet_pet-images.txt
resnet_uploaded-images.txt		resnet_uploaded-images.txt
run_models_batch.sh		run_models_batch.sh
run_models_batch_uploaded.sh		run_models_batch_uploaded.sh
test_classifier.py		test_classifier.py
vgg_pet-images.txt		vgg_pet-images.txt
vgg_uploaded-images.txt		vgg_uploaded-images.txt

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