[{'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:#Make DL Models\nfrom tensorflow.keras.layers import Input, Dense, Dropout\nfrom tensorflow.keras.models import Model\nfrom tensorflow.keras.callbacks import EarlyStopping, ReduceLROnPlateau\n\n_, NUM_FEATURES = x_train.shape\n\ndef make_dl_model()-> Model:\n    input = Input(shape=(NUM_FEATURES, ))\n    _ = Dense(32, activation='relu')(input)\n    _ = Dropout(0.4)(_)\n    _ = Dense(32, activation='relu')(_)\n    _ = Dropout(0.4)(_)\n    _ = Dense(16, activation='relu')(_)\n    output = Dense(1, activation='relu')(_)\n    model = Model(inputs=input, outputs=output)\n    model.compile(optimizer='adam', loss=rmsle_K, metrics=['mse'])\n    return model\n"}, {'role': 'assistant', 'content': "['modelling']"}]