Improve docs (#341)

* improve docs : no listing for only one condition

* imrpove docs

Author: zsdonghao

tensorlayer/layers/convolution.py

@@ -1382,6 +1382,8 @@ def deconv2d(layer,
         A :class:`DeConv2dLayer` object.
 
     """
+    if act is None:
+        act = tf.identity
     assert len(strides) == 2, "len(strides) should be 2, DeConv2d and DeConv2dLayer are different."
     if tf.__version__ > '1.3':
         logging.info("DeConv2d %s: n_filters:%s strides:%s pad:%s act:%s" % (name, str(n_filter), str(strides), padding, act.__name__))

tensorlayer/layers/core.py

@@ -69,7 +69,7 @@ def clear_layers_name():
 
     Examples
     ---------
-    Reset the current graph and try to refine model.
+    Clean the current graph and try to re-define model.
 
     >>> for .... (different model settings):
     >>>    with tf.Graph().as_default() as graph:   # clear all variables of TF
@@ -912,7 +912,7 @@ class ReconLayer(DenseLayer):
 
     Methods
     -------
-    pretrain(self, sess, x, X_train, X_val, denoise_name=None, n_epoch=100, batch_size=128, print_freq=10, save=True, save_name='w1pre')
+    pretrain(sess, x, X_train, X_val, denoise_name=None, n_epoch=100, batch_size=128, print_freq=10, save=True, save_name='w1pre')
         Start to pre-train the parameters of the previous DenseLayer.
 
     Notes