On Tuesday 09 April 2019, Frederik Ramm wrote:
>
> is it a community consensus that, when someone uses OSM to train
> their machine learning "black box", the internal data structures
> built during learning constitute a derivative database? Or are there
> people who argue that somehow the "black bo
Given what I know about machine learning (specifically neural networks), it
would be hard to argue that the internal data generated by the neural
network could be considered a database in the legal sense. This is because
the internal data is semantically opaque and incomprehensible to humans and
th
My two cents:
I'm not sure what you mean by internal data structures. If OSM data is used
to train a ML algorithm, then I would think that the training inputs could
be a substantial extract (possibly a trivial transformation of an extract).
But what is trained would be an algorithm/weights, which I
Hi,
is it a community consensus that, when someone uses OSM to train their
machine learning "black box", the internal data structures built during
learning constitute a derivative database? Or are there people who argue
that somehow the "black box" can ingest OSM data at will and still
remain 100%
