diff --git a/docs/_static/mxnet-theme/index.html b/docs/_static/mxnet-theme/index.html index 005bc88f255d..b644423e9ed1 100644 --- a/docs/_static/mxnet-theme/index.html +++ b/docs/_static/mxnet-theme/index.html @@ -9,7 +9,7 @@ Install
- Learn More + Learn More
diff --git a/docs/faq/multi_devices.md b/docs/faq/multi_devices.md index 3bb00105a622..a43879cb5233 100644 --- a/docs/faq/multi_devices.md +++ b/docs/faq/multi_devices.md @@ -83,5 +83,5 @@ Note that this option may result in higher GPU memory usage. When using a large number of GPUs, e.g. >=4, we suggest using `device` for better performance. ## Distributed training with multiple devices across machines -Refer [Distributed training](https://mxnet.incubator.apache.org/versions/master/how_to/distributed_training.html) +Refer [Distributed training](https://mxnet.incubator.apache.org/versions/master/faq/distributed_training.html) for information on how distributed training works and how to use it. diff --git a/docs/tutorials/python/types_of_data_augmentation.md b/docs/tutorials/python/types_of_data_augmentation.md index 4cd1ad7bd05e..4ec461d68ec0 100644 --- a/docs/tutorials/python/types_of_data_augmentation.md +++ b/docs/tutorials/python/types_of_data_augmentation.md @@ -326,7 +326,7 @@ plot_mx_array(aug_image) ![png](https://raw.githubusercontent.com/dmlc/web-data/master/mxnet/doc/tutorials/data_aug/outputs/types_of/output_53_0.png) -And lastly, you can use [`mxnet.image.RandomOrderAug`](https://mxnet.incubator.apache.org/api/python/image.html#mxnet.image.RandomOrderAug) to apply multiple augmenters to an image, in a random order. +And lastly, you can use [`mxnet.image.RandomOrderAug`](https://mxnet.incubator.apache.org/api/python/image/image.html#mxnet.image.RandomOrderAug) to apply multiple augmenters to an image, in a random order. ```python diff --git a/python/mxnet/gluon/block.py b/python/mxnet/gluon/block.py index a737817928a9..abc474850f24 100644 --- a/python/mxnet/gluon/block.py +++ b/python/mxnet/gluon/block.py @@ -156,7 +156,7 @@ def forward(self, x): Prefix acts like a name space. All children blocks created in parent block's :py:meth:`name_scope` will have parent block's prefix in their name. Please refer to - `naming tutorial `_ + `naming tutorial `_ for more info on prefix and naming. params : ParameterDict or None :py:class:`ParameterDict` for sharing weights with the new :py:class:`Block`. For example, @@ -249,7 +249,7 @@ def name_scope(self): self.dense = nn.Dense(20) Please refer to - `naming tutorial `_ + `naming tutorial `_ for more info on prefix and naming. """ return self._scope