GitHub - kylestrougo/Pre-trained-Image-Classifier-: Utilization of conventional neural networks (CNNs) to classify images. Comparing different architectures (AlexNet, VGG, ResNet) to determine optimal uses.

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Utilization of conventional neural networks (CNNs) to classify images. Comparing different architectures (AlexNet, VGG, ResNet) to determine optimal uses.

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Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
adjust_results4_isadog.py		adjust_results4_isadog.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
check_images.py		check_images.py
check_images.txt		check_images.txt
classifier.py		classifier.py
classify_images.py		classify_images.py
dognames.txt		dognames.txt
get_input_args.py		get_input_args.py
get_pet_labels.py		get_pet_labels.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
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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Utilization of conventional neural networks (CNNs) to classify images. Comparing different architectures (AlexNet, VGG, ResNet) to determine optimal uses.

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