Hello. I'm a researcher. One day I came to idea of the research. Now I'm trying to train a neural network model, but my hardware seem to be shit. I know that there are lot of folks with top GPUs (more precisely, I need NVidia ones, since there is no good OpenCL support in Theano) in here. I guess they may want to help me...
You install python 3.6, theano and the packages I point on. No backdoors, no malware, these are mostly well-known open-sourse project. I mean Theano and lasagne. Then I provide you with a matrix of data and a program which trains a net. The result would be useful for everyone who is going to buy some specific piece (widely used) of computer hardware and published in openaccess.
If you also know neural networks well all the advices would be appreciated - this is my first experience with ANN.
Jaxon Hall
I ain't failing for this, skynet.
Brody Green
That'll be 1000€ kiitos
Jose Howard
I'll do it if you pay me.
Ayden Baker
I'm not gonna pay you more than $1 for whole time. In fact published results likely will save more to everyone who is going to buy that piece of hardware.
Adam Walker
Assume I'm a retard gamer, explain step by step like a retard how I can help you
Connor Edwards
Not OP but his program will likely train a Neural network and write the weights of the NN to a file. Which he can use it to take output out of. You'll need to install python 2.7,numpy, theano plus whatever libs the program requires. And run the program.
Isaiah Moore
Yeah because you know that shit is going to crypto mining.
Brody Young
it depends on your GPU. Ram doesn't matter, 2 GiB must be enough.
Dominic Allen
1) Don't make your first NN algorithm so fucking huge that you can't run it. Start with
Adam Hill
>python 2.7,numpy, theano plus whatever libs the program requires
3.6+ in fact. 2.7 is old shit.
Nolan Mitchell
Cont. Also, if you're training NN's in parallel, how will you combine the results?
I actually just tackled a similar problem, you may be better off computing partial derivatives for individual training examples in parallel, then sending the results to a single computer and combining and optimizing there..
Christian Turner
Fuck you, pay me.
Zachary Ortiz
i'm not training in parallel, I'm only training on an old celeron now it's only 47 nodes now. It was trained for an hour, than I have canc3lled the process. I dont; know why such a small network takes so long to train.
Blake Thompson
How many training examples are you training over. Have you plotted your cost function over iterations of optimization? Does it look like its steadily decreasing?
Julian Stewart
I'll do it if I get second author
Angel Sullivan
11k. No. Have not tried. Do you mean I should try on a thousand first?
Jack Mitchell
Hmm, shouldn't take THAT long, but to get an idea of if there's a problem with your algorithm, have it print the cost function of your weights every 10 or so iterations (I'm assuming you're using some kind of gradient descent algorithm for optimization). I've never used Theano but I just mostly finished a NN class for Numpy and it takes about 24 hours to train over 50k examples, with about 4k nodes in the network.
Ethan Mitchell
Use EC2 spot instances you cheap fuck. Deep learning is not a poor student's game. Google routinely push out papers that require ~100 V100s to reproduce
Brody Nguyen
Why don't you use your schools computers?
Grayson Cook
because I'm not a schoolchild
Angel Jackson
>Researcher >0 funds Rly makes you think
Justin Martinez
I'm not going to mine buttcoins for you.
Actual university research means you either have some funding for buying hardware (in this case your entire research will be a proof of concept so you will buy 1, one, uno, um, computer and use it for said research) or be allowed to used the machines in your research department.
Blake Wright
You're going to install homosexual porn on my GPU, I know your game.
Leo Moore
He means why don't you use the computer resources that has been allocated to your institution, you fucking turbo-autismo.
Jeremiah Mitchell
oy vey, nice diagram you got ther goy
Ian Anderson
>Actual university research
It's a standalone research. My personal. Because I personally need it. Because I'm going to buy some hardware for my pc and I'm not going to trash my money by for shit. So it is not funded by the institution I work for. Also ML is not it's specialization.
Jacob Long
fucking shit. 500 seconds for 10 samples for 10 epochs. Fuck that theano, tomorrow I'll start xgboosting.
Kevin Gray
Well give us a link user, hiw are we supposed to help you if you don't show us where to download your shit?
Carson Rogers
I implemented a neural network that played Othello in undergrad AI class, it did fine with no GPU. Nobody wants to help your botnet crack tripcodes!
Angel Martin
shit nigga you can just use VLC for that tripfag
Julian Ortiz
>So it is not funded by the institution I work for. the whole point of being in academia is to be able to attract funding otherwise, why bother
Camden Scott
Wny should I do this instead of mining Zcash for $20 a day?
Henry King
Just use BOINC
Noah Mitchell
Out of curiosity, how many gpus would you need to get enough processing power for your research ? Are we talking just couple of 1080 class gpu or far more ?
Samuel Thomas
>Hey guys, run this miner for me, thanks! Nice try, (((user)))...
Ethan Foster
>this is my first experience with ANN Then you are perfectly fine using only your CPU for a long while until you at least somewhat understand what you are doing. Learn the basics first before diving into stuff like deep learning. You don't need a fucking top-end GPU to train a basic neural network.
Chase Bennett
what coin do i get for science mining? And how many bitcoin has seti@home stolen from witless xenophiles?
James Brown
I'll bite. Give me some way to contact you. If I give some shit about what you are trying to research I'll see what I can do to help you.
Michael Nelson
How much GPUs do you need? I have 1080, what are you training the net for?
Josiah Bennett
Smd faggot
Jonathan Perez
11K RECORDS FOR TRAINING??????? LOOOOOOOOOL
Ryder Walker
Google doesn’t use Nvidia hardware you fucking IDIOT
Cooper Carter
Go to Floydhub, you have 20 free hours of CPU per month and 2 hours of GPU (Tesla K80) Tbh you don't really need more than that. If you don't get satisfying results, there probably are other tweaks you can do to increase your accuracy, rather than training on more epochs. Anyway, good luck!
Nicholas Taylor
Plot training and test accuracy relative to number of epochs. Find the point where they're relatively the same and choose that as your number of epochs
Brandon Davis
yeah, so, you should pay for your own gear to do your bitcoin-mining research, pajeet