Presentation of Approximate Functions Example - Githubissues

timemmert / differential-ml

Tensorflow and Pytorch implementation of differential machine learning (https://arxiv.org/abs/2005.02347, by Brian Huge and Antoine Savine).

MIT License

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Presentation of Approximate Functions Example #6

Open YannickLimmer opened 2 years ago

YannickLimmer commented 2 years ago

The example shows the basic functionality of the project in a simple way.

However, it is not easily accessible for someone who is not familiar with the subject of Differential Machine Learning.

The goal of this issue is to create a Jupyter Notebook that contains

The example in a reader-friendly manner
Additional explanation in form of MarkDown text
Corresponding formulae for Differential Machine Learning

Possible extensions (for a follow-up issue) could be

To give some statistics/insights on performance

YannickLimmer commented 2 years ago

While doing this, prepare feedback for dev regarding usability.