Addons: Tutorial for Hamming loss

[harshithere]

I recently used Hamming loss from tfa for my thesis project. If it sounds useful, I'd like to add a tutorial on how to use the metric and probably other metrics in general. It took me some time to get around it so maybe this could save some time for others. Do let me know if this sounds like a worthwhile addition

• Are you willing to contribute it: Yes
• Are you willing to maintain it going forward?: In the near future, yes
• Is there a relevant academic paper?: No
• Is there already an implementation in another framework?: Requesting a tutorial
• Was it part of tf.contrib?: No

**Which API type would this fall under - Metrics

People who are working on multi-label classification problems would benefit from such a tutorial as tfa is the only library I could find for using these metrics while model training in tensorflow/keras.

P.S - I haven't done many open-source contributions and I'm still learning

[bhack]

You are welcome. Take an overview on https://github.com/tensorflow/addons/tree/master/docs/tutorials

[AakashKumarNain]

Hi @harshithere , sounds good to me. To start with, please check out the contributing guidelines here. We add tutorials in the form of notebooks. Check out these guidelines for the same.

[harshithere]

Perfect!!
I had a look at the tutorials earlier. I'll get started soon and let you know if I need any help. Thanks @bhack and @AakashKumarNain

[harshithere]

https://github.com/tensorflow/addons/pull/2044
@bhack , @AakashKumarNain I submitted a pull request for the same. Looking forward to your reviews