jcjohnson / torch-rnn

Efficient, reusable RNNs and LSTMs for torch

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Complete beginner help please

ParkertronDelta opened this issue · comments

Hi,
I do not have a background in coding, at all, but I do have a thinkpad that dual boots Windows (for gaming) and Ubuntu Creative Studio (for everything else) and I thought that getting torch-rnn working might be a nice project to introduce me to stuff (like github and python and stuff) but I'm having difficulty with getting it all working and all of the guides and FAQ type things that I can find either don't mention the problem I am having or assume a level of knowledge that I don't have. For example I am certain that I've installed a bunch of packages in places that they are not required.

Does a guide for complete beginners exist? Can I be part of making one (with help obviously!)? Can anyone help me out?

Hi,
As far as I know there isn't any beginners guide like you're asking for. Having said that, the README file - while perhaps not beginner-friendly - is complete. So your challenge is only in figuring out how to interpret it. I would suggest improving that file rather than writing another guide. Good luck!

Cheers,
Chris

By the way, there are other projects that do very similar things to this one, you may want to take a look in case they are easier to get started. One example: https://github.com/karpathy/char-rnn

Hi,
I can't update the readme file since I don't have the skills necessary to make torch-rnn work, I would need to collaborate with people who are able to make it work - that is why I made this thread

commented

I'm basically a complete beginner too, and so far have successfully got this one installed and working: https://gist.github.com/karpathy/d4dee566867f8291f086

It's the simplest one I could find. I also used a bunch of the guides here: https://machinelearningmastery.com/machine-learning-in-python-step-by-step/

That enabled me to get the basic stuff installed that everything else was dependent on. When I hit error codes, I googled the errors, and in the process got it running in Python 3.something.

Good luck!