diff --git a/models/models.json b/models/models.json
index 24cf107..7516bb2 100644
--- a/models/models.json
+++ b/models/models.json
@@ -26,53 +26,6 @@
 			}
 		]
 		},
-		{"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",
diff --git a/supporting_material/Demo with Key Points.pptx b/supporting_material/Demo with Key Points.pptx
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