Update README.md
Fix broken links to distributed training examples
@@ -125,10 +125,9 @@ and update your polyaxonfile with an environment section.
By default polyaxon creates a master job, so you only need to provide the workers and/or parameter servers.
- * [Tensorflow distributed example](https://github.com/polyaxon/polyaxon-examples/blob/master/tensorflow/cifare10/polyaxonfile_distributed.yml)
- * [MXNet distributed example](https://github.com/polyaxon/polyaxon-examples/blob/master/mxnet/cifar10/polyaxonfile_distributed.yml)
- * [Pytorch distributed example](https://github.com/polyaxon/polyaxon-examples/blob/master/pytorch/mnist/polyaxonfile_distributed.yml)
-
+ * [Tensorflow distributed example](https://github.com/polyaxon/polyaxon-examples/blob/master/in_cluster/tensorflow/cifar10/polyaxonfile_distributed.yml)
+ * [MXNet distributed example](https://github.com/polyaxon/polyaxon-examples/blob/master/in_cluster/mxnet/cifar10/polyaxonfile_distributed.yml)
+ * [Pytorch distributed example](https://github.com/polyaxon/polyaxon-examples/blob/master/in_cluster/pytorch/mnist/polyaxonfile_distributed.yml)
# Hyperparameters tuning
Polyaxon has a concept for suggesting hyperparameters and managing their results very similar to Google Vizier called experiment groups.
