[{'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:#create a keras CNN model from sctarch\nmodel = Sequential()\n\nmodel.add(Conv2D(32,(3,3), input_shape=(rows, cols, 3)))\nmodel.add(Activation('relu'))\nmodel.add(MaxPool2D(pool_size=(2,2)))\n\nmodel.add(Conv2D(64,(3,3)))\nmodel.add(Activation('relu'))\nmodel.add(MaxPool2D(pool_size=(2,2)))\n\nmodel.add(Conv2D(128,(3,3)))\nmodel.add(Activation('relu'))\nmodel.add(MaxPool2D(pool_size=(2,2)))\n\nmodel.add(Conv2D(256,(3,3)))\nmodel.add(Activation('relu'))\nmodel.add(MaxPool2D(pool_size=(2,2)))\n\nmodel.add(Flatten())\n\nmodel.add(Dense(256))\nmodel.add(Activation('relu'))\nmodel.add(Dropout(0.5))\n\nmodel.add(Dense(256))\nmodel.add(Activation('relu'))\nmodel.add(Dropout(0.5))\n\nmodel.add(Dense(1))\nmodel.add(Activation('sigmoid'))"}, {'role': 'assistant', 'content': 'modelling'}]