[{'role': 'system', 'content': "You are an expert in machine learning and your task is to classify the code snippets into categories from the provided list of categories. List of categories: ['helper_functions', 'load_data', 'data_exploration', 'data_preprocessing', 'evaluation', 'modelling', 'prediction', 'result_visualization', 'save_results', 'comment_only']"}, {'role': 'user', 'content': "Identify to which category the provided code belongs and assign the code snippet to at least 1 but up to 5 categories based on the probabilities, ignore if the probability of the category is negligible. Strictly provide your response as a list. Avoid providing any additional information, commentary, or personal opinions.\\nPython Code:# Fixed for our Cats & Dogs classes\nNUM_CLASSES = 2\n\n# Fixed for Cats & Dogs color images\nCHANNELS = 3\n\nIMAGE_RESIZE = 224\nRESNET50_POOLING_AVERAGE = 'avg'\nDENSE_LAYER_ACTIVATION = 'softmax'\nOBJECTIVE_FUNCTION = 'categorical_crossentropy'\n\n# Common accuracy metric for all outputs, but can use different metrics for different output\nLOSS_METRICS = ['accuracy']\n\n# EARLY_STOP_PATIENCE must be < NUM_EPOCHS\nNUM_EPOCHS = 10\nEARLY_STOP_PATIENCE = 3\n\n# These steps value should be proper FACTOR of no.-of-images in train & valid folders respectively\n# Training images processed in each step would be no.-of-train-images / STEPS_PER_EPOCH_TRAINING\nSTEPS_PER_EPOCH_TRAINING = 10\nSTEPS_PER_EPOCH_VALIDATION = 10\n\n# These steps value should be proper FACTOR of no.-of-images in train & valid folders respectively\n# NOTE that these BATCH* are for Keras ImageDataGenerator batching to fill epoch step input\nBATCH_SIZE_TRAINING = 100\nBATCH_SIZE_VALIDATION = 100\n\n# Using 1 to easily manage mapping between test_generator & prediction for submission preparation\nBATCH_SIZE_TESTING = 1"}, {'role': 'assistant', 'content': "['helper_functions', 'comment_only']"}]