[{'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_cnn = Sequential()\nmodel_cnn.add(Convolution2D(32, 3, 3, activation='relu', border_mode='same', input_shape=(24, 24, 3)))\nmodel_cnn.add(Convolution2D(32, 3, 3, activation='relu', border_mode='same'))\nmodel_cnn.add(MaxPooling2D(pool_size=(2, 2)))\nmodel_cnn.add(Dropout(0.25))\nmodel_cnn.add(Convolution2D(64, 3, 3, activation='relu', border_mode='same'))\nmodel_cnn.add(Convolution2D(64, 3, 3, activation='relu', border_mode='same'))\nmodel_cnn.add(MaxPooling2D(pool_size=(2, 2)))\nmodel_cnn.add(Dropout(0.25))\nmodel_cnn.add(Convolution2D(128, 3, 3, activation='relu', border_mode='same'))\nmodel_cnn.add(Convolution2D(128, 3, 3, activation='relu', border_mode='same'))\nmodel_cnn.add(MaxPooling2D(pool_size=(2, 2)))\nmodel_cnn.add(Dropout(0.25))\nmodel_cnn.add(Flatten())\nmodel_cnn.add(Dense(1024, activation='relu'))\nmodel_cnn.add(Dropout(0.5))"}, {'role': 'assistant', 'content': 'modelling'}]