[{'role': 'system', 'content': "You are an expert in machine learning and your task is to classify code snippets into one of the following categories: ['helper_functions', 'load_data', 'data_exploration', 'data_preprocessing', 'evaluation', 'modelling', 'prediction', 'result_visualization', 'save_results', 'comment_only']."}, {'role': 'user', 'content': "Identify the single most appropriate category to which the provided code belongs. Provide your response as a single category label without any additional information, commentary, or personal opinions.\\nPython Code:model = Sequential()\n\nmodel.add(Conv2D(32,(3,3),input_shape=(96,96,1),padding = 'SAME',activation='relu'))\nmodel.add(Conv2D(32,(3,3),padding = 'SAME',activation='relu'))\nmodel.add(MaxPooling2D(pool_size=(2,2),strides=(2,2)))\nmodel.add(Dropout(0.2))\n\nmodel.add(Conv2D(64,(3,3),padding = 'SAME',activation='relu'))\nmodel.add(Conv2D(64,(3,3),padding = 'SAME',activation='relu'))\nmodel.add(MaxPooling2D(pool_size=(2,2),strides=(2,2)))\nmodel.add(Dropout(0.2))\n          \nmodel.add(Conv2D(128,(3,3),padding = 'SAME',activation='relu'))\nmodel.add(Conv2D(128,(3,3),padding = 'SAME',activation='relu'))\nmodel.add(Conv2D(128,(3,3),padding = 'SAME',activation='relu'))\nmodel.add(MaxPooling2D(pool_size=(2,2),strides=(2,2)))\nmodel.add(Dropout(0.2))\n          \nmodel.add(Conv2D(256,(3,3),padding = 'SAME',activation='relu'))\nmodel.add(Conv2D(256,(3,3),padding = 'SAME',activation='relu'))\nmodel.add(Conv2D(256,(3,3),padding = 'SAME',activation='relu'))\nmodel.add(MaxPooling2D(pool_size=(2,2),strides=(2,2)))\nmodel.add(Dropout(0.2))\n\nmodel.add(Conv2D(512,(3,3),padding = 'SAME',activation='relu'))\nmodel.add(Conv2D(512,(3,3),padding = 'SAME',activation='relu'))\nmodel.add(Conv2D(512,(3,3),padding = 'SAME',activation='relu'))\nmodel.add(MaxPooling2D(pool_size=(2,2),strides=(2,2)))\nmodel.add(Dropout(0.2))\n          \nmodel.add(Flatten())\nmodel.add(Dense(units=512,activation='relu'))\nmodel.add(Dense(units=30))\n          \nmodel.summary()"}, {'role': 'assistant', 'content': 'modelling'}]