diff options
| -rw-r--r-- | tensorflow/g3doc/api_docs/python/contrib.layers.md | 8 |
1 files changed, 7 insertions, 1 deletions
diff --git a/tensorflow/g3doc/api_docs/python/contrib.layers.md b/tensorflow/g3doc/api_docs/python/contrib.layers.md index c0d6250ab1..b5c5a60960 100644 --- a/tensorflow/g3doc/api_docs/python/contrib.layers.md +++ b/tensorflow/g3doc/api_docs/python/contrib.layers.md @@ -447,7 +447,13 @@ Given loss and parameters for optimizer, returns a training op. * <b>`loss`</b>: Tensor, 0 dimensional. * <b>`global_step`</b>: Tensor, step counter for each update. * <b>`learning_rate`</b>: float or Tensor, magnitude of update per each training step. -* <b>`optimizer`</b>: string or function, used as optimizer for training. +* <b>`optimizer`</b>: string, class or optimizer instance, used as trainer. + string should be name of optimizer, like 'SGD', + 'Adam', 'Adagrad'. Full list in OPTIMIZER_CLS_NAMES constant. + class should be sub-class of tf.Optimizer that implements + `compute_gradients` and `apply_gradients` functions. + optimizer instance should be instantion of tf.Optimizer sub-class + and have `compute_gradients` and `apply_gradients` functions. * <b>`clip_gradients`</b>: float or None, clips gradients by this value. * <b>`moving_average_decay`</b>: float or None, takes into account previous loss to make learning smoother due to outliers. |