Deep Learning Master Class
Tel Aviv University | Wednesday-Thursday, November 5-6, 2014 Wednesday Nov. 5th 8:30-9:10: Gathering 9:10-9:30: Opening: Yehuda Afek, Gadi Singer 9:30-11:30: Yann LeCun (Facebook, NYU) The Unreasonable Effectiveness Of Deep Learning 11:30-12:00: Break 12:00-13:00: Yaniv Taigman (Facebook) Web-Scale Training for Face Identification 13:00-14:00: Lunch 14:00-15:00 Amnon Shashua (HUJI/ICRI-CI) SimNets
Petuum
Petuum is a distributed machine learning framework. It aims to provide a generic algorithmic and systems interface to large scale machine learning, and takes care of difficult systems "plumbing work" and algorithmic acceleration, while simplifying the distributed implementation of ML programs - allowing you to focus on model perfection and Big Data Analytics. Petuum runs efficiently at scale on re
Distributed Matrix Computations
Distributed Machine Learning and Matrix Computations A NIPS 2014 Workshop Level 5; room 510 a Friday December 12th 2014 Montreal, Canada Organizers: Reza Zadeh | Ameet Talwalkar | Ion Stoica The emergence of large distributed matrices in many applications has brought with it a slew of new algorithms and tools. Over the past few years, machine learning and numerical linear algebra on distributed ma
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username@ubuntu:~/pylearn2/pylearn2/scripts/tutorials/grbm_smd$ python make_dataset.py Traceback (most recent call last): File "make_dataset.py", line 29, in <module> train = cifar10.CIFAR10(which_set="train", one_hot=True) File "/usr/local/lib/python2.7/dist-packages/pylearn2-0.1dev-py2.7.egg/pylearn2/datasets/cifar10.py", line 67, in __init__ data = CIFAR10._unpickle(fname) File "/usr/local/lib/
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æœã®5時ã«èµ·ãã¦ã€ã‚„ãŠã‚‰ DSIRNLPï¼ˆãƒ‡ãƒ¼ã‚¿æ§‹é€ ã¨æƒ…å ±æ¤œç´¢ã¨è‡ªç„¶è¨€èªžå‡¦ç†ï¼‰å‹‰å¼·ä¼šã®è³‡æ–™ã‚’作æˆã™ã‚‹ã€‚ãã†ã€ä»Šæ—¥ã¯ DSIRNLP ã§æ‹›å¾…è¬›æ¼”ã‚’é ¼ã¾ã‚Œã¦ã„ã‚‹ã®ã§ã‚る。招待講演ã®å½“æ—¥ã«ãªã‚‰ãªã„ã¨è³‡æ–™ã‚’作る時間ãŒå–ã‚Œãªã„ã€ã¨ã„ã†ã®ã¯ç”±ã€…ã—ã事態ã§ã‚ã‚‹ãŒã€å…ˆæ—¥ã® NLP 若手ã®ä¼šã‚·ãƒ³ãƒã‚¸ã‚¦ãƒ ã§è¬›å¸«ã‚’é ¼ã¾ã‚Œã¦ã‹ã‚‰ä»Šæ—¥ã¾ã§ã€ä»•äº‹ã‚’ã§ãる時間ã®åŠåˆ†ãらã„ã¯äº‹å‹™å‡¦ç†ã€æ®‹ã‚Šã¯ç ”究室ã®å‹‰å¼·ä¼šã¨æŽˆæ¥ã§åŸ‹ã¾ã£ã¦ã„ãŸã®ã§ã€äºˆæƒ³å¤–ã«10月11æ—¥ã¾ã§ã«æ™‚é–“ãŒãªã‹ã£ãŸã€ã¨ã„ã†ã“ã¨ã§ã‚ã‚ã†ã€‚ タイトルã¯ã€Œã‚¹ãƒ¼ãƒ‘ーãƒãƒ¼ã‚«ãƒ«è‡ªç„¶è¨€èªžå‡¦ç†ç ”究室をã¤ãã‚‹ã€ã¨ã„ã†ã‚‚ã®ã§ã€å€‹ã€…ã®å†…容ã¯ã“ã®æ—¥è¨˜ã‚„ Twitter ã§æ›¸ã„ã¦ããŸã“ã¨ãªã®ã ãŒã€ã¾ã¨ã‚ã¦è©±ã™ã®ã¯ã“ã‚ŒãŒåˆã‚ã¦ã ã—ã€ãŠå£°ãŒã‘ãã ã•ã£ãŸ [twitter:@overlast] ã•ã‚“㨠[twitter:@uchumik] ã•ã‚“ã«æ„Ÿè¬ã€ã§ã‚る。 60分ã®ãƒˆãƒ¼ã‚¯ã¨30分ã®è³ªç–‘ã®ã¤ã‚‚ã‚Š
Deep Learning Bibliography | Memkite
DeepLearning.University – An Annotated Deep Learning Bibliography by: Amund Tveit*, Torbjørn Morland and Thomas Brox Røst memkite.com – Deeplearning.Education *Email: amund@memkite.com – @atveit Abstract DeepLearning.University is an annotated bibliography of recent publications (2014-) related to Deep Learning. If you have suggestions to improvements of this bibliography please send us an email o
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With $8M and star team, MetaMind does deep learning for enterprise – Old GigaOm
GitHub - sailing-pmls/bosen: Parallel ML System - Bosen project
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