nrmn

7 ms·

1.
by nrmn 5y ago
Yes, it feels like we have squeezed most of the performance out of current algorithms and architectures. OpenAI and deepmind have thrown tremendous compute against the problem with little overall progress (overall, alpha go is special). The
2.
by nrmn 5y ago
Why do you believe this to be the case?
3.
by nrmn 6y ago
Mosh is great, but it does not support port forwarding. For some people, including myself, this is a deal breaker. It has been an open issue/feature request since 2012[1] and even has a ~600 USD bounty on it[2]. [1] - https:/&#x2
4.
by nrmn 7y ago
Can jackfruit be eaten raw too?
5.
by nrmn 7y ago
fyi to the downvotes: o7 is a farewell salute. https://www.reddit.com/r/EliteDangerous/comments/3sdixv/what...
6.
by nrmn 7y ago
Working on research for my thesis, which will be wrapped up by years end. The current project focuses on improving sample efficiency in deep reinforcement learning. I am researching how best to merge the options framework with the adaptabil
7.
by nrmn 8y ago
From my viewpoint, as both a researcher and someone who has built frameworks around environments/games: - Each step within the game has to be extremely fast. I.e the game should be able to be run as fast as the machine allows while kee
8.
by nrmn 10y ago
PLE as well! https://github.com/ntasfi/PyGame-Learning-Environment (disclaimer I'm the author)
9.
by nrmn 10y ago
No they all use the same general principal of backpropagation to do the training. Different flavours of optimizers exist with different tweaks and additions to speed training up. Relevant file in project: https://github.com/
10.
by nrmn 10y ago
Author here. Thought I'd share a library I've been using with my personal work and projects. Its an interface around PyGame which makes it painless to start doing RL based work. Deciding to share it now as I'd like to get fee
11.
PLE: Reinforcement Learning Environment in Python(github.com)
5 points by nrmn 10y ago|1 comments
12.
by nrmn 11y ago
Not OP but I believe the low score is due to not enough training time and incorrect parameters such as frameskip. Space Invaders was mentioned as one of the few games they needed to lower the frameskip (from 4 to 3 or 2?) on because of the
13.
by nrmn 11y ago
I've been trying to read a paper a day since midsummer. These are a few of the interesting, for me personally, since then: Generating Sequences With Recurrent Neural Networks - http://arxiv.org/abs/1308.0850 Old
14.
by nrmn 11y ago
from the flipboard article: "The final use case that we thought of was saving bandwidth. A smaller image could be sent to the client which would run a client side version of this model to gain a larger image." Can be applied to gi
15.
by nrmn 11y ago
Torch (7 at least) uses Lua as the language you program in.
16.
Image Scaling Using Deep Convolutional Neural Networks(engineering.flipboard.com)
24 points by nrmn 11y ago|1 comments
17.
by nrmn 12y ago
+1 on Localytics. Interviewed with them a while go. Super nice group of people and interesting product.
18.
by nrmn 12y ago
Heads up, I interviewed with these guys before and was shafted on reimbursement for travel when I told them I took another offer. It wasn't a ton of money but its annoying as a college student.
19.
by nrmn 12y ago
You can get them if you look through the network request the browser makes. Largest I saw was 4096x3096, which is just perfect for desktop backgrounds!
20.
by nrmn 12y ago
For anyone actually interested in implementing DNN's I wrote up a quick blog post (essentially a brain dump) of general guidelines to adhere to when training DNNs. The source for this information is primarily from videos given by Geoff
21.
by nrmn 12y ago
+1 on this. I've used it in a previous project of mine. I did experiment with the other Redis-go libraries but Gary's felt the most complete and solid.
22.
by nrmn 12y ago
You're missing Thalmic Labs in Waterloo! They are the makers of the Myo! ( https://www.thalmic.com/en/myo/ )
23.
by nrmn 12y ago
Any love for interns?
24.
by nrmn 13y ago
Would you have any good resources to conv nets? I've done the tutorial on theanos site and the related stuff on Andrew ng random wiki (ufdl?). I'm still confused on the filters part.
25.
by nrmn 13y ago
"Decaf (CPU) is 2 times faster than Theano with GPU" Have you managed to reproduce this? Thats awesome if it is true! I thought Theano was already very fast.
26.
by nrmn 13y ago
Quick question about your code for the conv net, why do you resize the images down to 32x32? I thought one of the big features of conv nets was the fact that they input does not have to be the same, it just slides a window around the image.
27.
by nrmn 13y ago
Could you explain the filtering "their inputs through fixed or random nonlinearities"? I haven't heard of this before.
28.
by nrmn 13y ago
I feel a little apprehensive about sharing my code online, Im not sure if its an ego thing or from seeing some of the rude comments people have made over twitter about X pull request being made on github. Am I just being silly about this?
29.
by nrmn 13y ago
Some calculus and linear algebra. The majority is linear algebra.
30.
by nrmn 13y ago
Interesting article. I wonder what will be the final straw that ends up bursting the bubble, my assumption would be the students defaulting on their debts in large waves but I'm unsure when that wave will hit.

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