[{'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:epochs = 10\nfor e in range(epochs):\nfor record in training_data_list:\nall_values = record.split(',')\ninputs = (numpy.asfarray(all_values[1:]) / 255.0 * 0.99) + 0.01\ntargets = numpy.zeros(output_nodes) + 0.01\ntargets[int(all_values[0])] = 0.99\nn.train(inputs, targets)\ninputs_plusx_img = scipy.ndimage.interpolation.rotate(inputs.reshape(28,28), 10, cval=0.01, order=1, reshape=False)\nn.train(inputs_plusx_img.reshape(784), targets)\ninputs_minusx_img = scipy.ndimage.interpolation.rotate(inputs.reshape(28,28), -10, cval=0.01, order=1, reshape=False)\nn.train(inputs_minusx_img.reshape(784), targets)\npass\npass"}, {'role': 'assistant', 'content': 'modelling'}]