Account for Deep Learning related news, papers, software, reading materials and also other machine learning related news and facts
Joined November 2014
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Deep Learning Hub retweeted
Tomorrow Tue 4/3 talk on "Deep Learning & its application in Medicine" at 456 W. Olive Avenue, Sunnyvale. This is a free event & no pre-registration is required. Walk-ins are welcome. Come for talk, stay to network @machinelearnbot @MachineLearnDC @DeepLearningHub @deeplearning4j – at Fremont, CA
Deep Learning Hub retweeted
Deadline to apply for postdoc position in deep continual learning is coming up tomorrow. @slashML @women_in_ai @wimlds @DeepLearningHub xitter.cf/risi1979/status/965598…
Postdoc position in machine learning. Especially looking for candidates with experience in memory networks/neural turing machine/synaptic plasticity/neuroevolution/deep RL. Please RT/forward to interested candidates. Thanks! candidate.hr-manager.net/App…
Deep Learning Hub retweeted
A good example of a paper that pulls together quite a few useful techniques is: openreview.net/forum?id=S1NH… . CIFAR 10 SoTA, which is an interesting dataset IMO since it is quite small, so needs good augmentation, regularization, architecture, etc
Deep Learning Hub retweeted
[1801.01586] A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines arxiv.org/abs/1801.01586
This looks like a very useful survey/tutorial paper.
Deep Learning Hub retweeted
Wrote a blog post on implementing a PyTorch-like autodifferentiation library (in @rustlang): medium.com/@maciejkula/build…
Deep Learning Hub retweeted
Introduction to Linguistics for Natural Language
Processing - cl.cam.ac.uk/teaching/1314/L…
#NLProc #Linguistics
Deep Learning Hub retweeted
The ML research community has long been driven by the need to publish, which results in a stark, sometimes ridiculous bias towards complexity. Remember to ask: "can we do this with k-means and logistic regression?"
Deep Learning Hub retweeted
One thing I realize people don't like: Being told to think critically about a problem.People: AI algorithms are not magic. When you're first learning them, take some time to consider the knobs you're turning. It's amazing what applying the scientific method (step by step ) does.
Deep Learning Hub retweeted
How to unit test #machinelearning code . medium.com/@keeper6928/how-t…
Deep Learning Hub retweeted
A review of the top 5 papers ML arXiv papers of 2017 (according to the number of likes each paper's @BrundageBot tweet received):
Deep Learning Hub retweeted
New: My research w/@andyguess/@JasonReifler providing 1st behavioral estimates of fake news exposure in 2016 dartmouth.edu/~nyhan/fake-ne…
Key findings:
-heavily concentrated among w/most conservative info diets
-Facebook key vector of exposure
-fact-checks did not reach those exposed
Deep Learning Hub retweeted
Top 10 reasons #deeplearning isn’t getting us to artificial general intelligence. A critique of deep learning, 5 years into its resurgence, by @garymarcus arxiv.org/abs/1801.00631
ICYMI... xitter.cf/Reza_Zadeh/status/9406…
Very detailed notes of #NIPS2017 conference. 43 pages from David Abel. cs.brown.edu/~dabel/blog/pos…
Deep Learning Hub retweeted
My publisher is doing a deal (today only) where you can get half off my book "Deep Learning with Python", as well as its R version, "Deep Learning with R" (co-authored with JJ Allaire) manning.com/dotd?a_aid=keras
Deep Learning Hub retweeted
A reinforcement learning agent that learns to program new neural network architectures.
Same/better results as LSTMs but with funky nonlinearities (sine, SeLus, etc) and new connections that result in different activation patterns😯
einstein.ai/research/domain-…
arxiv.org/abs/1712.07316
Deep Learning Hub retweeted
New results on word embeddings with FastText in this paper: arxiv.org/abs/1712.09405 fb.me/3qcGSgz3k
Deep Learning Hub retweeted
In depth discussion of neural nets for autonomous driving and visualization of layers - Byte magazine, 1989 xitter.cf/ankurhandos/status/948…
Deep Learning Hub retweeted
wav2letter: end-to-end speech recognition engine from FAIR, now open source. fb.me/1KE0VqEtS
A nice summary... xitter.cf/dennybritz/status/9474…
I wrote up a (not so brief) summary of AI developments that stood out to me in 2017 wildml.com/2017/12/ai-and-de…