[{'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()\nmodel.add(Lambda(lambda x: x/ 255.0 - 0.5, input_shape=(160,320,3)))\nmodel.add(Cropping2D(cropping=((70,25),(0,0))))\nmodel.add(Convolution2D(6,5,5,activation = 'relu'))\nmodel.add(MaxPooling2D())\nmodel.add(Convolution2D(16,5,5,activation = 'relu'))\nmodel.add(MaxPooling2D())\nmodel.add(Flatten())\nmodel.add(Dense(128))\nmodel.add(Dense(84))\nmodel.add(Dense(1))\nmodel.compile(optimizer='adam', loss = 'mse')\nmodel.fit(X_train,y_train, validation_split=0.2,shuffle=True, nb_epoch=3 )\nmodel.save('modelCNN.h5')"}, {'role': 'assistant', 'content': 'modelling'}]