[{'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:# Load packages\nimport pandas as pd\nimport numpy as np\nimport seaborn as sns\nimport matplotlib.pyplot as plt\n\nfrom tqdm import tqdm\nfrom random import shuffle\nimport os, gc, time, cv2, random, math\n\n%matplotlib inline\nimport warnings\nwarnings.filterwarnings('ignore')\n\n####################\n# Global Constants #\n####################\nINCEPTION_V3_WEIGHTS_PATH = '../input/inceptionv3/inception_v3_weights_tf_dim_ordering_tf_kernels_notop.h5'\nPATH = '../input/dogs-vs-cats-redux-kernels-edition/'\nTRAIN_DIR = PATH+'train'\nTEST_DIR =  PATH+'test'\nNUM_CLASSES = 2\nIMG_SIZE = 145  ###\nCHANNELS = 3\nEPOCHS = 30\nBATCH_SIZE = 32\n\ntrain_images = os.listdir(TRAIN_DIR)\ntest_images = os.listdir(TEST_DIR)\n\n# # For testing purposes\n# train_images = train_images[:10000]\n# test_images = test_images[:100]"}, {'role': 'assistant', 'content': 'helper_functions'}]