iraphael

9 ms·

31.
by iraphael 9y ago
I have to respectfully disagree. From the video (the only source of information we have about the company's plans), it focuses on automobile-centric high speed transportation (as opposed to, say, efficient public transportation). If th
32.
by iraphael 9y ago
I think she approached it as trying to do what Ruth Porat is doing at Google. But maybe Yahoo needed more than putting finances in order.
33.
by iraphael 9y ago
I'm wondering why this link has been [flagged]. Is it because it's breaking news, or not insightful?
34.
by iraphael 9y ago
And they also have builtin support for 1-bit SGD. Compresses a model "down to 1 bit per weight" [0]. Seems to be a general technique for model compression, but it's nice for deployment to have it built in. This also doesn&#x2
35.
by iraphael 9y ago
Does anyone have more information about the finding itself? This article seems to be mostly a story about how "there was this mystery, and this scientist solved it with math".
36.
by iraphael 9y ago
I know one of the biggest struggles of training RNNs in TensorFlow, for instance, is the fact that the graph is static. Other frameworks, like PyTorch, have dynamic graphs. Will Caffe2 support dynamic graphs (perhaps down the line)? What is
37.
by iraphael 9y ago
What happens after the O1 expires? It's a non-immigrant visa right? I'm assuming it doesn't mean you get a green card after 3 years, correct?
38.
by iraphael 9y ago
It seems like a student project, not groundbreaking research.
39.
by iraphael 10y ago
Have you looked into ROS and Gazebo? I am an undergraduate leading an open source autonomous vehicle project [0] and we're currently almost done setting up simulation testing. Gazebo and ROS are very poorly documented but they serve th
40.
by iraphael 10y ago
Link to the actual paper: https://arxiv.org/pdf/1703.01253.pdf
41.
by iraphael 10y ago
If you're interested in a more introductory talk, I gave one a few weeks ago that goes over the basics of Deep Learning, and how TensorFlow works internally. https://www.youtube.com/watch?v=DYlHnxfrrZY
42.
Understanding how TensorFlow works(youtube.com)
20 points by iraphael 10y ago|0 comments
43.
by iraphael 10y ago
that's for use of a recording in court, not sure it applies to this situation
44.
by iraphael 10y ago
Hey, I'm the current team lead for buzzmobile. I'm glad our repo is useful, we've been working hard to make it as clean and maintainable as possible. Definitely feel free to reach out or send feedback if you have any :)
45.
by iraphael 10y ago
Out of curiosity, is this a result of your employer having flexible working hours and you being able to get the work done in that time, or are you also being paid less? (or are you in freelance, etc?)
46.
by iraphael 10y ago
Github link: https://github.com/tensorflow/fold Paper link: https://openreview.net/pdf?id=ryrGawqex
47.
by iraphael 10y ago
Well for starters, fine-tuning can be done in a variety of different ways. You can pretrain your model with a larger, different dataset, or you can train an autoencoder that learns some useful representation of that larger dataset and use t
48.
by iraphael 10y ago
Which is why I'm left wondering, why is it that "Silicon Valley Is So Nervous About H-1B Reform". Unless the headline is simply clickbait, I don't think the question was answered...
49.
by iraphael 10y ago
It should be noted that transfer learning is an umbrella term for many ideas that revolve around transferring what one model has learnt into another model. The method described here is a type of transfer learning called fine tuning.
50.
by iraphael 10y ago
that was it! thanks!
51.
by iraphael 10y ago
same issue on chrome, so not a firefox thing. I think we're missing something
52.
by iraphael 10y ago
This seems to be the important bit, that describes what makes their learning "fast": "The objective (...) is to maximize the expected total discounted reward accumulated during a single trial rather than a single episode. Max
53.
by iraphael 10y ago
An interesting bit is that this is coauthored by Kristen Stewart. But it talks about a lot of interesting things on how to tweak and evaluate Neural Style in a production environment where the results need to serve the story (rather than a
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Bringing Impressionism to Life with Neural Style Transfer in Come Swim(arxiv.org)
1 points by iraphael 10y ago|1 comments
55.
by iraphael 10y ago
This is the interesting part: > New dataset is smaller in size and similar in content compared to original dataset: If the data is small, it is not a good idea to fine-tune the DCNN due to overfitting concerns. Since the data is similar
56.
by iraphael 10y ago
Besides a cool new application of GANNs, I don't see if this architecture is much different than normal GANNs. Anyone else have thoughts?
57.
by iraphael 10y ago
> Available first on HTC Vive I can't find if it'll have support for DayDream View, which I just got for free with my pixel. Does anyone have more info?
58.
by iraphael 10y ago
For an interesting understanding of the state of copyright today, I recommend reading Free Culture, by Lawrence Lessig. I bought the kindle version but it's also available online at http://www.free-culture.cc/freecultur
59.
Ask HN: How do you organize your list of academic papers?
2 points by iraphael 10y ago|1 comments
60.
by iraphael 10y ago
So is material going flatter? Isn't that partly abandoning the paper-like material metaphor?

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