reproduce a standard benchmark ? about char-rnn

[YafahEdelman]

Well, there's the blog post on this which has been pretty popular and seems convincing. Also, in terms of using the world level PR I made, it currently seems to use a huge amount of RAM (which I'm working on). A 1MB file takes a min of 4 GBs or so for me, which may make it difficult to run on the Penn Tree Bank. I'm working on fixing this now and once I do I'll definitely try it out on that sample.

[AjayTalati]

@JacobEdelman, I'm not as easily convinced as you are?

I'd prefer using code which has been developed and documented in a peer reviewed paper compared to a blog?

Why should anyone use/prefer this code to Wojciech Zaremba's 2 layer LSTM model and code?

At the moment I'll stick to using/building on that code until someone can prove to me that this repo is better?