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< LakshyaOjhaGitte> Hey @sreenik you online?
< LakshyaOjhaGitte> any other mentor might help me with concatenate layer in ann?
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< LakshyaOjhaGitte> hey, do we have anything related to temporal convolution network or is it something new?
< LakshyaOjhaGitte> any help would be appreciated
< sreenik[m]> ojhalakshya[m]: Hey! No we currently do not have temporal convolution
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< bisakh[m]1> Hello *<https://app.slack.com/services/BQJ5NGK9R|sreenik[m]>,@zoq,* sorry to ask you again guys but can you please provide some feedback about my proposal?
< abhisaphire[m]> hey zoq rcurtin ,
< abhisaphire[m]> As suggested by marcus, I have added details of necessary tests needed for Octave binding. If time permits please re-visit the proposal (named : Abhishek kumar singh)and add additional comment(s).
< abhisaphire[m]> Thanks
< himanshu_pathak[> Hey everyone I think there is some change in timeline proposal submission date is same but change in coding period and community bonding period
< abhisaphire[m]> Yes @himanshu_pathak:matrix.org there is. I have also recieved a mail regarding this.
< himanshu_pathak[> Yeah time for community bonding period has been increased to 4 weeks good for us
< abhisaphire[m]> Are we required to change to new timeline in proposals also ??
< abhisaphire[m]> @rcurtin:matrix.org
< sreenik[m]> Updated is always better I suppose :)
< GauravTirodkar[m> wow that's great
< GauravTirodkar[m> we will get to know eacgh other better
< sreenik[m]> freenode__slack_mlpack_URY6X773M[m]: Sorry there's a problem with my riot client and I can't see your username (just seeing a hexcode), could you mention your name so that I can try to review it when I get time?
< sreenik[m]> <_slack_mlpack_URY6X773M[m] "Hello *<https://app.slack.com/se"> My last text was reply to this
< KarthikeyanR[m]1> Hey zoq rcurtin my proposal hasn't been reviewed yet. Can you please review it when you get time?
< KarthikeyanR[m]1> Name:KarthiKeyan R
< KarthikeyanR[m]1> Proposal: mlpack/klab a library specialized for raspberry pi and other resource-constrained devices with no dependencies
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< promethus47> promethus47: hi
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< AnjishnuGitter[m> Hi @zoq , for image segmentation, we might need to implement metrics like IOU. This is easy to do in PyTorch and Numpy as can be seen [here](https://www.kaggle.com/iezepov/fast-iou-scoring-metric-in-pytorch-and-numpy). Does mlpack have any inbuilt utility to do something similar? Or can this be included in the ANN module as a layer or something?
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< kartikdutt18Gitt> Hey @iamshnoo, Could you take a look at #2294 ? Thanks a lot.
< AnjishnuGitter[m> Sure!
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< Param-29Gitter[m> Hey @zoq , @rcurtin I had also submitted my draft a few days back. I hope you get a chance to review it.
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< rcurtin> abhisaphire[m]: I wouldn't worry too much about changing the timeline, that's a small detail :) the project period is still the same length
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< rcurtin> KarthekiyanR[m]1: I'll see if I can find a chance to review it, but I don't know if I'll have the time unfortunately
< rcurtin> remember that we can always ask any clarifying questions after the application deadline, if we need
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< kartikdutt18Gitt> Hey @rcurtin, @zoq, I created a sample example notebook for a LSTM example, it can be viewed from my PR or from my branch [here](https://github.com/kartikdutt18/examples/blob/Add-example-notebooks/lstm_stock_prediction/LSTM_MULTIVARIATE_TIME_SERIES.ipynb).
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< JoelJosephGitter> does ANN have a Softmax Layer currently?
< zoq> JoelJosephGitter: Yes
< zoq> karthikeyan47[m]: Great, I will take a closer look at the file tomorrow.
< karthikeyan47[m]> zoq: Thanks
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< travis-ci> mlpack/ensmallen#771 (test-pr-gh - da05724 : Ryan Curtin): The build has errored.
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