snrji

7 ms·

1.
by snrji 7y ago
With which option! I have used Colab myself and I don't see live editing. I would like to see the cursor of the collaborators in real time while they edit. Also, the option to share the runtime.
2.
by snrji 7y ago
Does anyone now if this system supports Google Docs-like live editing? I'm struggling to find such a service.
3.
by snrji 7y ago
Not necessarily, it depends on the advisor, university, program and field. The problem is that once you start you are committed for 4 years. Abandoning a PhD program and starting another one is quite more complicated than changing of job.
4.
by snrji 7y ago
SpaceX always beats my expectations, unlike Tesla.
5.
by snrji 7y ago
Hey! I didn't see your answer. That's very useful, thanks!
6.
by snrji 7y ago
It's not only about the odds, but the expected return. That's the whole point of insurance, for instance. Having an accident under these circumstances is quite improbable, but in case it happened, the return would be massive. Actu
7.
by snrji 7y ago
For studying it would be fine, but for taking exams no way the instructors can let you in with your phone.
8.
by snrji 7y ago
That depends on the language.
9.
Ask HN: Is there a library for creating cross-editor plugins?
3 points by snrji 7y ago|2 comments
10.
by snrji 7y ago
This is the kind of ad-hoc PEP proposal that could be completely avoidable if there was a generic modifier or initialization/declaration construction for declaring a variable as constant. So incredibly simple, so incredibly useful that
11.
by snrji 7y ago
I see, thanks for warning me.
12.
Ask HN: Will I be able to talk to a human if I move from Google to Apple?
18 points by snrji 7y ago|26 comments
13.
by snrji 7y ago
I do it all the time... on Twitter and Reddit. In real life I would never even look at eyes of a stranger. Probably some people here can relate.
14.
by snrji 7y ago
When I was in college I was mystified by genetic algorithms, without knowing much about them. After taking 2 subjects on the matter and reading some books, I came to the conclusion that apart from being inherently inefficient (that's w
15.
by snrji 7y ago
AFAIK TensorFlow is not Tensorflow but "Matrixflow". This library is truly tensor-based if I understood it correctly? I found useful the diagrammatic notation, by the way.
16.
by snrji 7y ago
This headline is pure propaganda.
17.
by snrji 7y ago
Since always. What is it otherwise?
18.
by snrji 7y ago
I know, but isn't that what the OP was asking for? Isn't that an inherent tradeoff? Or: isn't that what Neuromorphic hardware and deep learning are about (ie. composing many relatively simple functions without complex branchi
19.
by snrji 7y ago
Contrary to the belief of progressive billionaires, I think the reform of capitalism will come in form of local "soft socialism". Localism just makes sense and can be accepted by both left and right-wing people.
20.
by snrji 7y ago
And why not the GPUs themselves? Which inherent limitations do they have? Aren't they essentially general purpose parallel devices?
21.
by snrji 7y ago
Tangentially, is there any estimation of the amount of words/sentences that a kid may have heard by the time he or she learns to talk?
22.
by snrji 7y ago
Pytorch is amazing and Facebook's open source contributions to AI are great. However, tooling for deep learning in general is not ready for industry grade technology. Many bugs could be prevented by dependent types, but compilers are n
23.
by snrji 7y ago
For linear models it can be shown to be equivalent to weight decay. For nonlinear ones, it empirically behaves as a regularizer.,
24.
by snrji 7y ago
Thank you very much for your explanation! That's exactly what I was asking for.
25.
Ask HN: Is Tesla actually using customer data for training?
3 points by snrji 7y ago|2 comments
26.
by snrji 7y ago
By "eval" you can also mean the training subset. As I understood is at the code to evaluate the network at a given point with a given dataset. For instance, after epoch epoch, the model is evaluated for both training and validatio
27.
by snrji 7y ago
People tend to do a hard distinction between symbolic AI and machine learning, but actually some machine learning algorithms are based on symbols (eg. decision trees and association rules build logical rules). I recommend Pedro Domingos boo
28.
by snrji 7y ago
It was not mainstream back then. I agree that most popular dynamic are quite terrible. But, honestly, I think the real problem is not the particular implementations, but the whole idea of dynamic typing. At first it did make sense, but now
29.
by snrji 7y ago
The trend of adding type annotations to dynamically typed languages is now unstoppable. I wonder if some more exotic features (eg. side effects handling, monads or dependent types) will ever become mainstream in the feature.
30.
by snrji 7y ago
I assume in both cases the dataset was balanced. Otherwise metrics such as accuracy can be meaningless.

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