[{'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:with tf.Session() as sess:\nsess.run(init)\nn_batches = 54\nfor epochs in range(30):\nacc = 0\nfor i in range(n_batches):\nbatch_X = X_train_batch[i, :]\nbatch_Y = y_batch[i, :]\n_, a = sess.run([train_step, accuracy], {X: batch_X, Y: batch_Y})\nacc=acc+a\nprint("Epoch:", \'%04d\' % (epochs + 1), "accuracy=", "{:.9f}".format(acc/54))\nsaver = tf.train.Saver()\nsave_path = saver.save(sess, "./models/conv56x56x3-drop-lr.ckpt")\nprint("Model saved in file: %s" % save_path)'}, {'role': 'assistant', 'content': 'modelling'}]