[{'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:\nimport numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\nfrom pandas import DataFrame, Series\nimport random\nfrom tqdm import tqdm\nimport os\nimport math\nimport numpy as np\nimport h5py\nimport matplotlib.pyplot as plt\nimport tensorflow as tf\nfrom tensorflow.python.framework import ops\nimport cv2\nfrom keras.utils import to_categorical\nimport glob\nfrom matplotlib import pyplot as plt\nimport cv2\nfrom keras.models import Sequential, Model\nfrom keras.layers import Dense, Dropout, Activation, Flatten, Conv2D, Flatten, MaxPool2D\nfrom keras.optimizers import adam\nfrom keras import regularizers\nfrom keras.utils import plot_model\nfrom keras.applications.vgg19 import VGG19\nfrom keras.layers import Input, Dense, Dropout\nfrom keras import backend as K\n\n# Any results you write to the current directory are saved as output.'}, {'role': 'assistant', 'content': 'helper_functions'}]