message: Edit CosineSimilarity documentation
diff: @@ -1973,8 +1973,8 @@ class CosineSimilarity(LossFunctionWrapper):
  >>> y_pred = [[1., 0.], [1., 1.]]
  >>> # Using 'auto'/'sum_over_batch_size' reduction type.
  >>> cosine_loss = tf.keras.losses.CosineSimilarity(axis=1)
  - >>> # l2_norm(y_true) = [[0., 1.], [1./1.414], 1./1.414]]]
  - >>> # l2_norm(y_pred) = [[1., 0.], [1./1.414], 1./1.414]]]
  + >>> # l2_norm(y_true) = [[0., 1.], [1./1.414, 1./1.414]]
  + >>> # l2_norm(y_pred) = [[1., 0.], [1./1.414, 1./1.414]]
  >>> # l2_norm(y_true) . l2_norm(y_pred) = [[0., 0.], [0.5, 0.5]]
  >>> # loss = mean(sum(l2_norm(y_true) . l2_norm(y_pred), axis=1))
  >>> # = -((0. + 0.) + (0.5 + 0.5)) / 2
  