Minor fixes in NeptuneLogger docs

pytorch_lightning/loggers/neptune.py

@@ -32,7 +32,7 @@ class NeptuneLogger(LightningLoggerBase):
 
     The Neptune logger can be used in the online mode or offline (silent) mode.
     To log experiment data in online mode, :class:`NeptuneLogger` requries an API key.
-    In offline mode, Neptune will log to a local directory.
+    In offline mode, the logger does not connect to Neptune.
 
     **ONLINE MODE**
 
@@ -83,7 +83,7 @@ class NeptuneLogger(LightningLoggerBase):
     ...         self.logger.experiment.log_artifact('model_checkpoint.pt', ...)
     ...         self.logger.experiment.whatever_neptune_supports(...)
 
-    If you want to log objects after the training is finished use ``close_after_train=False``:
+    If you want to log objects after the training is finished use ``close_after_fit=False``:
 
     .. code-block:: python
 
@@ -135,7 +135,7 @@ class NeptuneLogger(LightningLoggerBase):
             "namespace/project_name" for example "tom/minst-classification".
             If ``None``, the value of `NEPTUNE_PROJECT` environment variable will be taken.
             You need to create the project in https://neptune.ai first.
-        offline_mode: Optional default False. If ``True`` no logs will be sent
+        offline_mode: Optional default ``False``. If ``True`` no logs will be sent
             to Neptune. Usually used for debug purposes.
         close_after_fit: Optional default ``True``. If ``False`` the experiment
             will not be closed after training and additional metrics,