[{'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:# N = 1\n\n# base_model = Unet(backbone_name='resnet34', encoder_weights='imagenet')\n\n# inp = Input(shape=(None, None, N))\n# l1 = Conv2D(3, (1, 1))(inp) # map N channels data to 3 channels\n# out = base_model(l1)\n\n# model = Model(inp, out, name=base_model.name)\n# model.compile(optimizer=Adam(lr = 1e-5), loss=dice_coef_loss, metrics=[dice_coef])"}, {'role': 'assistant', 'content': "['helper_functions']"}]