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@karpathy now GoogleNet is public within Caffe http://caffe.berkeleyvision.org/
.@MSFTResearch #deeplearning software has been released: https://github.com/minerva-developers/minerva … via @haldaume3 #MSR #machinelearning
Tutorial on #doc2vec, by @tremerick (new blog post): http://radimrehurek.com/2014/12/doc2vec-tutorial/ …
bnpy : Bayesian nonparametric machine learning for python https://bitbucket.org/michaelchughes/bnpy-dev/ …
6 retweets 12 favorites
from VW tutorial talk: http://tinyurl.com/pyvwsearch is ipython notebook, http://tinyurl.com/pyvwtalk is a longer talk #nips2014
How to fool a computer. http://arxiv.org/pdf/1412.1897v1.pdf … pic.twitter.com/QpD8vDwFRY
Not sure what the point of autocorrect is if its not adaptive.
1 retweet
Unix commands turned into companies by @goodmachine at @thingmonk pic.twitter.com/9ENWpr9amx
MT @ylecun: Fei-Fei Li and @karpathy are teaching a new course on convolutional nets at Stanford. Neat! http://vision.stanford.edu/teaching/cs231n/ … #dlearn
말풍선을 자동으로 달아주는 툴, 버블러의 알파 버전을 공개합니다. http://bbr.ipknlab.com/ psd 파일에 들어있는 대사를 인식해서 말풍선을 만들어줍니다.
62 retweets 64 favorites
Alec Radford's Introduction to Deep Learning with Python and Theano, on MNIST: https://www.youtube.com/watch?v=S75EdAcXHKk … Code: https://github.com/Newmu/Theano-Tutorials …
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I open sourced some Python/numpy CNN+LSTM/RNN code for training Recurrent Nets that describe images with sentences https://github.com/karpathy/neuraltalk …
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The videos of the talks from the Deep Learning Master Class at Tel Aviv University are available. http://fb.me/1OwIw4w4x
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Random Forests in scikit-learn now support sparse data! Great job @JolyArnaud https://github.com/scikit-learn/scikit-learn/pull/3173 …
"Your posteriors are less informative than your priors." How to insult a #Bayesian http://www.quora.com/What-are-good-ways-to-insult-a-Bayesian-statistician … via @sejDino
The #mlss14iceland videos are now online as well. There's some great stuff here for statistical ML people. http://goo.gl/rvQT4S
솔직히 말해 난 내가 마주치는 모든 아이들에게 말해주고 싶어요. "너 공부 좋아하면 대학원생 된다."
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