ChanServ changed the topic of #mlpack to: "mlpack: a fast, flexible machine learning library :: We don't always respond instantly, but we will respond; please be patient :: Logs at http://www.mlpack.org/irc/
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< robb9>
can I use an optimizer on a recurrent neural network? (like CNE with LSTM layers?) or do I have to use BPTT
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< noobie>
hi everyone i m new here can u please tell me more about this project and what are the suggestions being made so far
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< ShikharJ>
rcurtin: I kind of feel what you mean by saying "it seems like forever since I implemented an algorithm for mlpack". It seems to happen to me every weekend, that I aim to make a certain progress on a certain part, and I end up only reviewing PRs, since there are so many :/
< rcurtin>
ShikharJ: yeah, it can be a bit overwhelming; what I've started doing is just setting a limit on how many PRs I'm going to respond to in a day, which leaves me some time for actual development
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< Sergobot>
rcurtin: zoq: Hey there! Just sent out my proposal through the GSoC interface, your suggestions are very welcomed :) It's mostly complete, right now I'm only figuring out rough API and a more detailed timeline. Hope you'll have some time to look into it. Thanks!
< Sergobot>
Oh, btw, I've had a look into jenkins-conf/#13 and solution by mirraaj seems sufficient to me so far. Though, I plan to dig deeper into it once the proposal is finalized
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< zoq>
Sergobot: Hello, will take a look probably tomorrow.
< zoq>
robb9: CNE should work for an LSTM network as well.
< zoq>
noobie: Hello, a good starting point is to checkout the mailing list archive.
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< Hemal>
Hi zoq ! I am going through the stale pull request codes. In the NEAT code, could you let me know what were the issues in it ?
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< zoq>
Hemal: The specification isn't correct, at some stage the network does not evolve anymore, and since we sort the model once we change the structure it becomes slow at some point; ideally we can find a better solution for the last point.