gtani

15 ms·

91.
by gtani 9y ago
Recent baby steps in gradient checking: https://news.ycombinator.com/item?id=14739491
92.
by gtani 9y ago
This seems to be a newly hot topic, whether to fight adversarial inputs or looking for efficiencies. I bookmarked a few relevant blogs (but really need to read more deeply) http://composition.al/blog/2017/05/
93.
by gtani 9y ago
Probably you could look at # Watches, Stars, forks etc to gauge that, but if you want to look at vs theano, torch, pyTorch, Caffe2, start with cs231N lecture: http://cs231n.stanford.edu/slides/2017/cs231n_2017_lect
94.
by gtani 9y ago
I used to work in adaptive skiing, mostly with visually impaired kids and adults, and met a couple of blind develoeprs and people working on screen readers and other equipment. They lived in California which helped with a lot of expensive B
95.
by gtani 9y ago
There's a subreddit for locating more: https://www.reddit.com/r/mathbooks/ ___________________ This list's a couple years old, for machine learning, including basic lin.alg, prob/stats: https:&#x2F
96.
by gtani 9y ago
I was starting on the opposite tack, tho haven't got far, synthesizing/sampling kicks, snares and bass lines from scratch, which is prett tricky, like a kick is a sine wave swept down, play with ADSR envelope, saturate/compre
97.
by gtani 9y ago
40 lanes is a common limitation on consumer chipsets and core i7's (the Z170, x99 and z97 are commonly used for DL builds) but as you said pairs of older Xeons make more available: https://www.microway.com/hpc-tech-tips
98.
by gtani 9y ago
There's a few books on how to approach books and problems, e.g. don't strain on first seeing new material. Lara Alcock wrote 2 books on studying math which seem to have the same ToC, a lot of undergrad programs have materials on
99.
by gtani 9y ago
(answering a different question) A lot of people are deciding they need to get a solid grasp of linear algebra, calc up thru some real analysis/measure theory, convex optimization, probability theory so they can read deep learning&#x2F
100.
by gtani 9y ago
I think these PIs at UIUC communicate clearly about all the processes necessary (Han wrote a good text on data mining, but probably outdated from 2011): http://xren7.web.engr.illinois.edu/www17-StructNet-part1.pdf http:&#x
101.
by gtani 9y ago
Depends on the corpus. If your problem fits a conLL task, you can read lots of papers about it. If you can build on an existing wikipedia entity/relation graph, dictionary, gazzette that's a big boost. For academic research pape
102.
by gtani 9y ago
I ran it on a cluster of 5 of the largest mainframes available at the time, so i don't know what it'll be like stability and footprint-wise on linux/12G memory. I liked the language but i see what people are doing in R, pyth
103.
by gtani 10y ago
Slightly faster, and i mean only slightly: https://web.archive.org/web/*/www.softwarepreservation.org/p... (I will actually read carefully but maybe not today, as a former fulltime APL developer).
104.
by gtani 10y ago
My favorite user interface is the rubber bands i use to connect pots/encoders on synths like mopho, ms2000 or MIDI controllers. You have to find the right length and thickness to get kind of a sigmoid acceleration curve to the connect
105.
by gtani 10y ago
Things like topic recognition, entity and reference linking/disambiguation, synonym/paraphase are well researched tasks with purpose-made datasets for competitions like TREC. The most common approaches will be to choose a word em
106.
by gtani 10y ago
This person ran it on a hackintosh (I helped a little) https://github.com/luanfujun/deep-photo-styletransfer/issues...
107.
by gtani 10y ago
Frankly if you give more detail on what kind of NLP, we can give more pointers, but for comprehensive resource, 3rd draft Jurafsky/martin standard text, missing pieces TBA: LSTM's, vector embeddings (word2vec etc), seq2seq/ne
108.
by gtani 10y ago
Might want to look for video to Feb 22 lecture comparing caffe, theano, torch, TF: http://cs231n.stanford.edu/syllabus.html . It was taken down from youtube because no closed captions but i'm sure it's archived mu
109.
by gtani 10y ago
oh, that similar project repo seems to be the inspiration/genesis of this thread's repo. Also that repo's author did the Stanford lecture comparing theano, tensorflow, torch which is very worth digging out of the various arch
110.
by gtani 10y ago
That's funny, i was just going over OS X makefile with somebody yesterday and i came here to look for the thunderbolt external GPU adapter. The repo author is super responsive if you're RAM constrained: https://www.redd
111.
by gtani 10y ago
HN regularly has threads about self teaching math, theoretical compsci, physics etc, they're hard to google for. Best is to find a study group or willing tutor but for books/youtube, MOOC, - Cal Newport's books/blog - Ga
112.
by gtani 10y ago
I think the guy who wrote that original U of C list has stated that it's mainly of historical interest, given the many omissions noted, and that the lists by Baez and Univ. Cambridge that i pushed there are better starting points, or t
113.
by gtani 10y ago
That book got good reviews. /r/math has lots of threads on this, recommend Abbott, Tao, Pugh, Spivak etc https://www.reddit.com/r/math/comments/50m4ib/what_are_the_m... https://www.
114.
by gtani 10y ago
cheap hardware (you'll probably want velocity sensitive pads) Teenage Eng Rhythm, Korg KR mini and Volca Beats, the Alesis sr 16/18, Akai makes seemingly dozens of beat makers/sequencer/samplers, others from Arturia, bos
115.
by gtani 10y ago
If anyone really wants to learn, I think one of the best resources is still the Polivka/Pakin "APL Language and Its Usage" (Prentice-Hall, but in the 2nd edition, paperback with red cover, which I haven't ever seen for s
116.
by gtani 10y ago
Thanks. My APL2 used to be littered with a lot of "eaches" which generated a lot of complaints in code review (raised, "sideways colon"), but seemed a natural way to express things. Is this a divergence between APL2 and
117.
by gtani 10y ago
Some of the coding bootcamps have pretty detailed curriculum including intermediate and capstone projects. If somebody puts up useful mini-app backends in Rails or Django and shows they can unit test, branch/merge in git, do basic con
118.
by gtani 10y ago
I knew some audio engineers who had different cables (cardas copper, pure silver, some others i can't remember) on identical headphones (Beyerdynamic) and everybody agreed you could hear not insignificant differences that they would de
119.
by gtani 10y ago
I think you want to understand comp linguistics viewpoint: parsers, PoS taggin, dependency analysis, syntax trees; and the machine learning perspective: embeddings in, say, 100-200 dimensional space (word2vec, glove) and topic modelling&#x2
120.
by gtani 10y ago
You have to pay attention to a few components. So - fullsize case where a big 3-fan, 13" card won't run into the hard drive or DVD drive cables, if you choose to go that route (it seems to be easier to have multiple Founders editi

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