code: def build_keras_model():
      """
      Define a recurrent convolutional model in Keras 1.2.2
      """
      from keras.models import Sequential
      from keras.layers import Dense, Dropout, Activation
      from keras.layers import Embedding
      from keras.layers import LSTM
      from keras.layers import Convolution1D, MaxPooling1D
  
      keras_model = Sequential()
      keras_model.add(Embedding(20000, 128, input_length=100))
      keras_model.add(Dropout(0.25))
      keras_model.add(
          Convolution1D(
              nb_filter=64,
              filter_length=5,
              border_mode="valid",
              activation="relu",
              subsample_length=1,
          )
      )
      keras_model.add(MaxPooling1D(pool_length=4))
      keras_model.add(LSTM(70))
      keras_model.add(Dense(1))
      keras_model.add(Activation("sigmoid"))
      return keras_model
  
imports: from optparse import OptionParser
  import sys
label_desc: Use image node_id 2 for calling a global function with example usage: build_keras_model() and returns: keras_model