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supporting material
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HarborneD committed Sep 10, 2018
1 parent 671a3c2 commit 24d7cbd
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47 changes: 0 additions & 47 deletions models/models.json
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}
]
},
{"model_name":"vgg16",
"script_name":"vgg16",
"class_name":"VGG16Trainable",
"trained_on":[
{"dataset_name":"CIFAR-10",
"model_path":"saved_models/cifar-10",
"training_allocation_path":"dataset_csvs/cifar-10.csv",
"test_accuracy":400,
"training_time":8118.97,
"training_steps":0.30
},
{"dataset_name":"Gun Wielding Image Classification",
"model_path":"saved_models/gun_wielding_image_classification",
"training_allocation_path":"dataset_csvs/wielder_non-wielder_train_split.csv",
"test_accuracy":0.68,
"training_time":1664,
"training_steps":400
},
{"dataset_name":"Traffic Congestion Image Classification (Resized)",
"model_path":"saved_models/traffic_congestion_image_classification_(resized)",
"training_allocation_path":"dataset_csvs/traffic_congestion_image_classification_(resized)_train_split.csv",
"test_accuracy":0.78,
"training_time":1805,
"training_steps":400
},
{"dataset_name":"Traffic Congestion Image Classification",
"model_path":"saved_models/traffic_congestion_image_classification",
"test_accuracy":0.82,
"training_time":696,
"training_steps":400
}
],
"layers":[

],
"additional_arguments":[
{"name":"learning_rate",
"description":""
},
{"name":"dropout",
"description":""
}
],
"references":["https://keras.io/applications/"],
"description":"A keras api VGG16 CNN feature descriptor fully trained and with trained fully connected layers attached.",
"license":"apache 2"
},
{"model_name":"vgg16_imagenet",
"script_name":"vgg16_imagenet",
"class_name":"VGG16Imagenet",
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