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Element-Research / rnn

Recurrent Neural Network library for Torch7's nn
BSD 3-Clause "New" or "Revised" License
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Visualizated explanations of the examples #250

Open johnny5550822 opened 8 years ago

johnny5550822 commented 8 years ago

I found the examples founder is great. Have you have any plan to further develop visual explanation on every example file? For example the "recurrent-time-series.lua", when we go over the code, explanation + figures may help the user to understand not only how rnn package works, but also the basic of the recurrent network structure?

@nicholas-leonard

nicholas-leonard commented 8 years ago

@johnny5550822 Yeah that kind of tutorial would be awesome. Its just that I have been a little overwhelmed with other stuff. Tutorials take time to do. Would you be open to writing one?

Otherwise, I am working on a blog post / tutorial for the noise-contrastive-estimate.lua example.

rracinskij commented 8 years ago

Trying to understand is that kind of stuff is compatible with rnn's - http://homes.cs.washington.edu/~marcotcr/blog/lime/ If yes, it could eventually add some valuable insights to the rnn mechanics at some later point.

johnny5550822 commented 8 years ago

@nicholas-leonard Yes, I am thinking about it. If I make one for some examples, I will send you the link. A tutorial will boost the good codes of RNN.

@rracinskij Thanks. Yes, I agree with it. Sometime, there are some tutorails out there, but it is hard to google them~

nicholas-leonard commented 8 years ago

@johnny5550822 Awesome! Keep us posted :)