message: Rephrase a commentand delete one
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diff: @@ -1172,15 +1172,15 @@ class LearningRateScheduler(Callback):
  ```python
  # Firstly, let's create a function which
  # maps a given epoch to a learning rate.
  - # This function would keep the learning rate
  - # constant at 0.001 for the first ten epochs and
  - # let it decrease exponentially after that.
  + # This function keeps the learning rate
  + # at 0.001 for the first ten epochs and
  + # decreases it exponentially after that.
  def scheduler(epoch):
  if epoch < 10:
  return 0.001
  else:
  return 0.001 * tf.math.exp(0.1 * (10 - epoch))
  - # Next, we need to set up the callback and train the model.
  +
  callback = tf.keras.callbacks.LearningRateScheduler(scheduler)
  model.fit(data, labels, epochs=100, callbacks=[callback],
  validation_data=(val_data, val_labels))
  