code: def bn_drop_lin(inp, n_out, bn=True, p=0.0, actn=None):
      out = inp
      if bn:
          out = keras.layers.BatchNormalization()(out)
      if p > 0:
          out = keras.layers.Dropout(p)(out)
      use_bias = False if bn else True
      out = keras.layers.Dense(
          n_out, activation=actn, use_bias=use_bias
      )(out)
      return out
  
label_desc: Use image node_id 1 for calling a global function with example usage: bn_drop_lin(inp, n_out, bn, p, actn) and returns: out