new_contents: from keras.layers import Input
  from keras.layers.convolutional import Conv1D
  from keras.layers.core import Activation, Dense, Dropout, Flatten
  from keras.layers.pooling import AveragePooling1D, MaxPooling1D
  from keras.layers.merge import concatenate
  from keras.models import Model
  
  
  def get(input_shape, num_classes, batchnorm=True):
      """
      Based on "Recommending music on Spotify with Deep Learning"
      """
      input_layer = Input(shape=input_shape)
      layer = input_layer
      for i in range(3):
          layer = Conv1D(filters=256, kernel_size=4,
                         strides=2, padding='same',
                         kernel_initializer='glorot_normal')(layer)
          layer = Activation('relu')(layer)
          layer = MaxPooling1D(2)(layer)
      avg_pool = AveragePooling1D(pool_size=4)(layer)
      max_pool = MaxPooling1D(pool_size=4)(layer)
      layer = concatenate([avg_pool, max_pool])
      layer = Flatten()(layer)
      layer = Dense(units=2048, activation='relu')(layer)
      layer = Dropout(rate=0.5)(layer)
      layer = Dense(units=num_classes)(layer)
      layer = Dropout(rate=0.5)(layer)
      layer = Activation('softmax')(layer)
      return Model(inputs=input_layer, outputs=layer)
  
subject: Add spotify-based model