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> Just let us know, preferably via Slack (but in this case here is fine), what to add and on which date. I will then let you know via Slack....

Would be great if you could add a unit test for this, @shneeba :).

There is also an opportunity to move some logic somewhere else, for example the following code block does not dependent on ``account_name``, nor does it depend on ``library_name``. https://github.com/llmware-ai/llmware/blob/2563496a45b0b7defbcd10c926779536628b077c/llmware/library.py#L174-L199 Everything...

If someone has not done it yet, I would take it over.

I would submit something next week, however, I am not mad if you do it.

Hi all, is this feature still open, in the sense that you are waitingn for someone to implement it?

Great! Then I would be interested in implementing it.

Thank you, @xet7! Can you please assign me to the issue so it shows up on my GitHub page? Thank you!

Your suggestion **"Add a FlattenLayer that flattens a preceding convolutional layer."** is a duplicate of issue #24 .