message: Deprecated tf.random_normal to tf.random.normal in lstm README
diff: @@ -71,7 +71,7 @@ tflite_model = converter.convert() # You got a tflite model!
  + tf.lite.experimental.nn.TFLiteLSTMCell(
  self.num_lstm_units, forget_bias=0))
  # Weights and biases for output softmax layer.
  - out_weights = tf.Variable(tf.random_normal([self.units, self.num_class]))
  + out_weights = tf.Variable(tf.random.normal([self.units, self.num_class]))
  @@ -67,7 +67,7 @@ class MnistLstmModel(object):
  lstm_cells = tf.nn.rnn_cell.MultiRNNCell(lstm_layers)
  # Note here, we use `tf.lite.experimental.nn.dynamic_rnn` and `time_major`
  @@ -170,7 +170,7 @@ class MnistLstmModel(object):
  tf.lite.experimental.nn.TFLiteLSTMCell(
  self.num_lstm_units, forget_bias=0))
  # Weights and biases for output softmax layer.
  - out_weights = tf.Variable(tf.random_normal([self.units, self.num_class]))
  + out_weights = tf.Variable(tf.random.normal([self.units, self.num_class]))
  out_bias = tf.Variable(tf.zeros([self.num_class]))
  # Transpose input x to make it time major.
  