Fixed 4 broken links

docs/faq/finetune.md

@@ -15,7 +15,7 @@ with these pretrained weights when training on our new task. This process is
 commonly called _fine-tuning_. There are a number of variations of fine-tuning.
 Sometimes, the initial neural network is used only as a _feature extractor_.
 That means that we freeze every layer prior to the output layer and simply learn
-a new output layer. In [another document](https://github.com/dmlc/mxnet-notebooks/blob/master/python/faq/predict.ipynb), we explained how to
+a new output layer. In [another document](https://github.com/dmlc/mxnet-notebooks/blob/master/python/how_to/predict.ipynb), we explained how to
 do this kind of feature extraction. Another approach is to update all of
 the network's weights for the new task, and that's the approach we demonstrate in
 this document.

docs/faq/multi_devices.md

@@ -210,4 +210,4 @@ export PS_VERBOSE=1; python ../../tools/launch.py ...
 ### More
 
 - See more launch options by `python ../../tools/launch.py -h`
-- See more options of [ps-lite](http://ps-lite.readthedocs.org/en/latest/faq.html)
+- See more options of [ps-lite](https://ps-lite.readthedocs.io/en/latest)

docs/tutorials/index.md

@@ -134,7 +134,7 @@ The Gluon and Module tutorials are in Python, but you can also find a variety of
 
 - [Imperative tensor operations on CPU/GPU](http://mxnet.incubator.apache.org/tutorials/basic/ndarray.html)
 
-- [NDArray Indexing](http://mxnet.incubator.apache.org/tutorials/basic/ndarray_indexing.html)
+- [NDArray Indexing](../tutorials/basic/ndarray_indexing.html)
 
 - [Symbol API](http://mxnet.incubator.apache.org/tutorials/basic/symbol.html)
 
@@ -174,7 +174,7 @@ The Gluon and Module tutorials are in Python, but you can also find a variety of
 
 <div class="applications">
 
-- [Connectionist Temporal Classification](http://mxnet.incubator.apache.org/tutorials/speech_recognition/ctc.html)
+- [Connectionist Temporal Classification](../tutorials/speech_recognition/ctc.html)
 
 - [Distributed key-value store](http://mxnet.incubator.apache.org/tutorials/python/kvstore.html)
 

python/mxnet/gluon/trainer.py

@@ -16,7 +16,7 @@
 # under the License.
 
 # coding: utf-8
-# pylint: disable=
+# pylint: disable=line-too-long
 """Parameter optimizer."""
 __all__ = ['Trainer']
 
@@ -34,7 +34,7 @@ class Trainer(object):
         The set of parameters to optimize.
     optimizer : str or Optimizer
         The optimizer to use. See
-        `help <http://mxnet.io/api/python/optimization.html#the-mxnet-optimizer-package>`_
+        `help <http://mxnet.io/api/python/optimization/optimization.html#the-mxnet-optimizer-package>`_
         on Optimizer for a list of available optimizers.
     optimizer_params : dict
         Key-word arguments to be passed to optimizer constructor. For example,