mbaijal commented on a change in pull request #8051: Issue #7750: MXNet 0.11.0 Release Feedback: README File URL: https://github.com/apache/incubator-mxnet/pull/8051#discussion_r141696665
########## File path: README.md ########## @@ -33,26 +33,26 @@ What's New * [MKLDNN for Faster CPU Performance](./MKL_README.md) * [MXNet Memory Monger, Training Deeper Nets with Sublinear Memory Cost](https://github.com/dmlc/mxnet-memonger) * [Tutorial for NVidia GTC 2016](https://github.com/dmlc/mxnet-gtc-tutorial) -* [Embedding Torch layers and functions in MXNet](http://mxnet.io/how_to/torch.html) +* [Embedding Torch layers and functions in MXNet](https://mxnet.incubator.apache.org/how_to/torch.html) * [MXNet.js: Javascript Package for Deep Learning in Browser (without server) ](https://github.com/dmlc/mxnet.js/) -* [Design Note: Design Efficient Deep Learning Data Loading Module](http://mxnet.io/architecture/note_data_loading.html) -* [MXNet on Mobile Device](http://mxnet.io/how_to/smart_device.html) -* [Distributed Training](http://mxnet.io/how_to/multi_devices.html) -* [Guide to Creating New Operators (Layers)](http://mxnet.io/how_to/new_op.html) +* [Design Note: Design Efficient Deep Learning Data Loading Module](https://mxnet.incubator.apache.org/architecture/note_data_loading.html) +* [MXNet on Mobile Device](https://mxnet.incubator.apache.org/how_to/smart_device.html) +* [Distributed Training](https://mxnet.incubator.apache.org/how_to/multi_devices.html) +* [Guide to Creating New Operators (Layers)](https://mxnet.incubator.apache.org/how_to/new_op.html) * [Go binding for inference](https://github.com/songtianyi/go-mxnet-predictor) * [Amalgamation and Go Binding for Predictors](https://github.com/jdeng/gomxnet/) - Outdated -* [Training Deep Net on 14 Million Images on A Single Machine](http://mxnet.io/tutorials/computer_vision/imagenet_full.html) +* [Training Deep Net on 14 Million Images on A Single Machine](http://mxnet-tqchen.readthedocs.io/en/latest/tutorials/imagenet_full.html) Review comment: How do we want to handle it then? Remove the whole bullet point (Training Deep Net on 14 Million Images on A Single Machine)? ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: [email protected] With regards, Apache Git Services
