[{'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:# model=Sequential()\n# model.add(Conv2D(64,kernel_size=(2,2),strides=(1,1),kernel_initializer=glorot_normal(seed=100),input_shape=(64,64,3) ))\n# model.add(Conv2D(64,kernel_size=(2,2),strides=(1,1),kernel_initializer=glorot_normal(seed=100)))\n# model.add(BatchNormalization())\n# model.add(Activation("relu"))\n# model.add(MaxPooling2D((2,2)))\n\n# model.add(Conv2D(128,kernel_size=(2,2),strides=(1,1),kernel_initializer=glorot_normal(seed=100)))\n# model.add(Conv2D(128,kernel_size=(2,2),strides=(1,1),kernel_initializer=glorot_normal(seed=100)))\n# model.add(BatchNormalization())\n# model.add(Activation("relu"))\n# model.add(MaxPooling2D((2,2)))\n\n# model.add(Conv2D(256,kernel_size=(2,2),strides=(1,1),kernel_initializer=glorot_normal(seed=100)))\n# model.add(Conv2D(256,kernel_size=(2,2),strides=(1,1),kernel_initializer=glorot_normal(seed=100)))\n# model.add(Conv2D(256,kernel_size=(2,2),strides=(1,1),kernel_initializer=glorot_normal(seed=100)))\n# model.add(BatchNormalization())\n# model.add(Activation("relu"))\n# model.add(MaxPooling2D((2,2)))\n\n\n# model.add(Conv2D(512,kernel_size=(2,2),strides=(1,1),kernel_initializer=glorot_normal(seed=100)))\n# model.add(Conv2D(512,kernel_size=(2,2),strides=(1,1),kernel_initializer=glorot_normal(seed=100)))\n# model.add(Conv2D(512,kernel_size=(2,2),strides=(1,1),kernel_initializer=glorot_normal(seed=100)))\n# model.add(BatchNormalization())\n# model.add(Activation("relu"))\n# model.add(MaxPooling2D((2,2)))\n\n\n# model.add(Flatten())\n# model.add(Dense(10,activation="relu",kernel_initializer=glorot_normal(seed=100)))\n# model.add(Dense(1,activation="sigmoid",kernel_initializer=glorot_normal(seed=100)))\n\n\n\n\n\n\n\n'}, {'role': 'assistant', 'content': "['helper_functions']"}]