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Just finished some truly terrible monkey patch business to get pytables to do 2D ragged arrays. Any better way without direct hdf5?
Few things kill productivity in a new Python project like prematurely breaking things up into lots of small files
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Joram Lindenstrauss, in memoriam.
http://www.ams.org/notices/201501/rnoti-p26.pdf …
@IgorCarron @NGhoussoub pic.twitter.com/ADNpJMVdEl
Is this superlaserfocus some critical part of certain technical jobs? Or just what certain technical people gravitate to? Seems destructive.
For example your manager/CEO/salesman is not worried about cranking out invoices or avoiding ALL interruptions. They are taking 2 hr lunches
Seriously - what is with programmers and absolute productivity fanaticism? Maybe just HN but I don't see other jobs minmaxing like this.
@johnplattml Platt-scaling and isotonic calibration are being implemented in sklearn: https://github.com/scikit-learn/scikit-learn/pull/1176 … feel free to pitch in :)
FitNets: Hints for Thin Deep Nets http://arxiv.org/abs/1412.6550 #dlearn #machinelearning #knowledgedistillation
LSTMs, gradient clipping, goat herding and Prometheus. Weird but productive day.
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That moment a manuscript is rejected by your ideal journal and you're like: pic.twitter.com/KAiW8RYjRF
In those days Caesar Augustus decreed that all must return to the town of their birth, that they may provide tech support for their families
1,144 retweets 647 favoritesaaaand my remote pc is inaccessible. Just when I need it for new experiments...
Weakly supervised multi-embeddings learning of acoustic models, my submission to ICLR 2015 workshop http://arxiv.org/abs/1412.6645 :-)
1 retweet 3 favoritesTake home finals are rarely a positive. Rather than running out of time, you run out of brain. Much more painful... now to recharge!
1 favoriteAnother nice RNN from Mohammad P. https://github.com/mohammadpz/Recurrent-Neural-Networks …
1 retweet 3 favoritesShort and sweet lstm tutorial in Theano by Kyunghyun Cho http://deeplearning.net/tutorial/lstm.html …
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Blocks looks like an interesting library for building neural networks on top of theano http://goo.gl/u8esMN
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Autodidact with a Ph.D. who loves two of these three things: computer science, programming and sex on the beach.
Software Engineer interested in Machine Learning and Natural Language Processing and Generation; MFA graduate from NYU Game Center.
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