message: Fixes GitHub
  Reference PR
diff: @@ -1728,12 +1728,13 @@ def cosine_similarity(y_true, y_pred, axis=-1):
  class CosineSimilarity(LossFunctionWrapper):
  """Computes the cosine similarity between labels and predictions.
  - Note that it is a negative quantity between -1 and 0, where 0 indicates
  - orthogonality and values closer to -1 indicate greater similarity. This makes
  - it usable as a loss function in a setting where you try to maximize the
  - proximity between predictions and targets. If either `y_true` or `y_pred`
  - is a zero vector, cosine similarity will be 0 regardless of the proximity
  - between predictions and targets.
  + Note that it is a number between -1 and 1. When it is a negative number
  + between -1 and 0, 0 indicates orthogonality and values closer to -1
  + indicate greater similarity. The values closer to 1 indicate greater
  + dissimilarity. This makes it usable as a loss function in a setting
  + where you try to maximize the proximity between predictions and targets.
  + If either `y_true` or `y_pred` is a zero vector, cosine similarity will be 0
  + regardless of the proximity between predictions and targets.
  `loss = -sum(l2_norm(y_true) * l2_norm(y_pred))`
  