[{'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:def fully_conn(x_tensor, num_outputs):\n"""\nApply a fully connected layer to x_tensor using weight and bias\n: x_tensor: A 2-D tensor where the first dimension is batch size.\n: num_outputs: The number of output that the new tensor should be.\n: return: A 2-D tensor where the second dimension is num_outputs.\n"""\nreturn tf.contrib.layers.fully_connected(x_tensor, num_outputs, activation_fn=tf.nn.relu)\n"""\nDON\'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE\n"""\ntests.test_fully_conn(fully_conn)'}, {'role': 'assistant', 'content': "['modelling']"}]