[{'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()\nmodel.add(Lambda(lambda x: x/ 255.0 - 0.5, input_shape=(160,320,3)))\nmodel.add(Cropping2D(cropping=((70,25),(0,0))))\nmodel.add(Convolution2D(24,5,5, subsample = (2,2), activation = 'relu', name='conv1'))\nmodel.add(Convolution2D(36,5,5, subsample = (2,2), activation = 'relu', name='conv2'))\nmodel.add(Convolution2D(48,5,5, subsample = (2,2), activation = 'relu', name='conv3'))\nmodel.add(Convolution2D(64,3,3,activation = 'relu', name='conv4'))\nmodel.add(Convolution2D(64,3,3,activation = 'relu', name='conv5'))\nmodel.add(Flatten())\nmodel.add(Dropout(.8))\nmodel.add(Dense(100))\nmodel.add(Dropout(.8))\nmodel.add(Dense(50))\nmodel.add(Dense(10))\nmodel.add(Dense(1))\nadam = Adam(lr=0.001, beta_1=0.9, beta_2=0.999, epsilon=1e-08, decay=0.01)\nmodel.compile(optimizer=adam, loss = 'mse')\nmodel.fit(X_train,y_train, validation_split=0.2,shuffle=True, nb_epoch=3 )\nmodel.save('modelEnd.h5')"}, {'role': 'assistant', 'content': "['modelling']"}]