[{'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:print("Building model...")\nLAYER_ONE_SIZE = 1024\nmodel = Sequential()\nmodel.add(Dense(dims, LAYER_ONE_SIZE, init=\'glorot_uniform\'))\nmodel.add(PReLU((LAYER_ONE_SIZE,)))\nmodel.add(BatchNormalization((LAYER_ONE_SIZE,)))\nmodel.add(Dropout(0.5))\nmodel.add(Dense(LAYER_ONE_SIZE, LAYER_ONE_SIZE, init=\'glorot_uniform\'))\nmodel.add(PReLU((LAYER_ONE_SIZE,)))\nmodel.add(BatchNormalization((LAYER_ONE_SIZE,)))\nmodel.add(Dropout(0.5))\nmodel.add(Dense(LAYER_ONE_SIZE, LAYER_ONE_SIZE, init=\'glorot_uniform\'))\nmodel.add(PReLU((LAYER_ONE_SIZE,)))\nmodel.add(BatchNormalization((LAYER_ONE_SIZE,)))\nmodel.add(Dropout(0.5))\nmodel.add(Dense(LAYER_ONE_SIZE, nb_classes, init=\'glorot_uniform\'))\nmodel.add(Activation(\'softmax\'))\nmodel.compile(loss=\'categorical_crossentropy\', optimizer="adam")\nprint("Training model...")\n%time model.fit(x, y, nb_epoch=8, batch_size=128, validation_split=0.15)'}, {'role': 'assistant', 'content': 'modelling'}]