Added XOR-Regression tutorial.

[ahenkes1]

Objective of pull request:

I wrote a simple, minimalistic regression tutorial using the lava-dl framework. It consists of optional installation instructions for Google Colab, such that everybody can directly dive into it without problems! A simple XOR task is solved using a small CUBA network. Despite being a toy example, this tutorial can aid as a basis for LAVA-DL beginners interested in regression tasks. Important keywords are linked to further resources.

Pull request checklist

Your PR fulfills the following requirements:

• Issue created that explains the change and why it's needed
• Tests are part of the PR (for bug fixes / features)
• Docs reviewed and added / updated if needed (for bug fixes / features)
• [ x] PR conforms to Coding Conventions
• [ x] PR applys BSD 3-clause or LGPL2.1+ Licenses to all code files
• [x ] Lint (flakeheaven lint src/lava tests/) and (bandit -r src/lava/.) pass locally
• [x ] Build tests (pytest) passes locally

Pull request type

• Bugfix
• Feature
• Code style update (formatting, renaming)
• Refactoring (no functional changes, no api changes)
• Build related changes
• Documentation changes
• [x ] Other (please describe): Tutorial

Does this introduce a breaking change?

• Yes
• [x ] No

Supplemental information

[bamsumit]

Thanks @ahenkes1 for the contribution. This looks good overall. I especially like the thorough description :). Here are few of my comments.

1. Please get rid of this installation cell.
   

2. How about using a classifier instead of None. This is a classification problem. It would be good to see the accuracy.
   

[timcheck]

Thanks @ahenkes1, looks really nice. I agree with @bamsumit install instructions are already available https://github.com/lava-nc/lava-dl/#windowsmacoslinux, so should not be included in the tutorial itself.

You could also add your tutorial to the list of tutorials on https://github.com/lava-nc/lava-dl#getting-started.

[ahenkes1]

@timcheck , @bamsumit everything should be fine now!

[ahenkes1]

Hello @timcheck , @bamsumit , @PhilippPlank , is there still something to do here?

[bamsumit]

Looks good @ahenkes1 . Thank you for your contribution.