Deep Learning Hub

Account for Deep Learning related news, papers, software, reading materials and also other machine learning related news and facts

[Dr Darshana Nadkarni @DarshanaN]

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

[Sebastian Risi @risi1979]

Deadline to apply for postdoc position in deep continual learning is coming up tomorrow. @slashML @women_in_ai @wimlds @DeepLearningHub https://t.co/Vhkj2YYVWQ

[Jeremy Howard @jeremyphoward]

@yoavgo @nlpmattg @seb_ruder @Smerity @dennybritz A good example of a paper that pulls together quite a few useful techniques is: https://t.co/1t0SxbZZBr . CIFAR 10 SoTA, which is an interesting dataset IMO since it is quite small, so needs good augmentation, regularization, architecture, etc

[Denny Britz @dennybritz]

[1801.01586] A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines https://t.co/hslgKh00Bh

This looks like a very useful survey/tutorial paper.

[Maciej Kula @Maciej_Kula]

Wrote a blog post on implementing a PyTorch-like autodifferentiation library (in @rustlang): https://t.co/Ar1XGS88kI

[Rishabh Shukla @0_rishabh]

Introduction to Linguistics for Natural Language
Processing - https://t.co/LHrlu3LgMc
#NLProc #Linguistics

[François Chollet @fchollet]

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?"

[agibsonccc @agibsonccc]

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.

[DSME.Foundation @DSME16]

How to unit test #machinelearning code . https://t.co/I4BKJRt5sz

[Andrew Mauboussin @amaub]

A review of the top 5 papers ML arXiv papers of 2017 (according to the number of likes each paper's @BrundageBot tweet received):

[Brendan Nyhan (@BrendanNyhan on 🟦☁️) @BrendanNyhan]

New: My research w/@andyguess/@JasonReifler providing 1st behavioral estimates of fake news exposure in 2016 https://t.co/dRI5P6NN04

Key findings:
-heavily concentrated among w/most conservative info diets
-Facebook key vector of exposure
-fact-checks did not reach those exposed

[Gary Marcus @GaryMarcus]

Top 10 reasons #deeplearning isn’t getting us to artificial general intelligence. A critique of deep learning, 5 years into its resurgence, by @garymarcus https://t.co/wD2UXX1tRI

[Deep Learning Hub @DeepLearningHub]

“From Perceptron to Deep Neural Nets” by @adichrisb https://t.co/zoWibJMWLS

[Deep Learning Hub @DeepLearningHub]

ICYMI... https://t.co/Td3AcfEepG

[Reza Zadeh @Reza_Zadeh]

Very detailed notes of #NIPS2017 conference. 43 pages from David Abel. https://t.co/VU6tW5pX1r

[François Chollet @fchollet]

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) https://t.co/7xbpFXtCwF

[Richard Socher @RichardSocher]

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😯
https://t.co/WPLEJgT0pO
https://t.co/UEqgpBuG14

[Yann LeCun @ylecun]

New results on word embeddings with FastText in this paper: https://t.co/MePzbgOcM0 https://t.co/yzUuhic4BV

[Jeremy Howard @jeremyphoward]

In depth discussion of neural nets for autonomous driving and visualization of layers - Byte magazine, 1989 https://t.co/q2ZfvKJQJI

[Yann LeCun @ylecun]

wav2letter: end-to-end speech recognition engine from FAIR, now open source. https://t.co/btQiqsWSYt

[Deep Learning Hub @DeepLearningHub]

A nice summary... https://t.co/G8A5i7GusO

[Denny Britz @dennybritz]

I wrote up a (not so brief) summary of AI developments that stood out to me in 2017 https://t.co/3oLEOlC1GE