top | item 10572198 Anyone Can Learn to Code an LSTM-RNN (Part 1: RNN) 125 points| williamtrask | 10 years ago |iamtrask.github.io 14 comments order hn newest [+] [-] digisth|10 years ago|reply If you want to know more about RNNs in general, I can't recommend watching the videos/reading the notes from this course enough:http://cs224d.stanford.edu/syllabus.htmlIf you want something more basic to get your head around NNs, I recommend Denny Britz's "Neural Networks from Scratch":http://www.wildml.com/2015/09/implementing-a-neural-network-...I created a gist with a heavily commented version of his code:https://gist.github.com/sthware/c47824c116e6a61a56d9 [+] [-] imh|10 years ago|reply For a more thorough intro, I can't recommend anything better than this http://arxiv.org/abs/1506.00019 [+] [-] hellameta|10 years ago|reply This is a wonderful post. For anyone who'd like to see a nice intro to decision trees insofar as how they apply to machine learning, this is a nice post as well: http://www.r2d3.us/visual-intro-to-machine-learning-part-1/ [+] [-] deepGem|10 years ago|reply Another fantastic resource, from a programmer's perspective. Very little math. http://karpathy.github.io/neuralnets/ [+] [-] Houshalter|10 years ago|reply In theory yes, but these NN libraries are very difficult to set up. I remember it was a huge pain to get numpy working with lots of frustrations and learning technical things. Torch and theano are not supported on Windows at all.I've been looking at brain simulator recently. It has it's own installer and a decent GUI: http://www.goodai.com/#!brain-simulator/c81c [+] [-] wodenokoto|10 years ago|reply http://deeplearning.net/software/theano/install_windows.htmlIt seems like theano does work on Windows, but the install looks to be quite the pita. load replies (2) [+] [-] make3|10 years ago|reply Some more information on LSTMs http://colah.github.io/posts/2015-08-Understanding-LSTMs/ [+] [-] williamtrask|10 years ago|reply excellent post [+] [-] nicklo|10 years ago|reply Terrific post! Its great to see things implemented in short, 1-file programs. Tends to demystify things a lot.What did you use to make the diagrams + gifs? [+] [-] williamtrask|10 years ago|reply Glad you liked it! For the gifs... http://makeagif.com/ [+] [-] bravo|10 years ago|reply I can't if I can't access that link. [+] [-] williamtrask|10 years ago|reply not sure what happened...should be back up now. I'm guessing github hiccup [+] [-] digisth|10 years ago|reply [deleted]
[+] [-] digisth|10 years ago|reply If you want to know more about RNNs in general, I can't recommend watching the videos/reading the notes from this course enough:http://cs224d.stanford.edu/syllabus.htmlIf you want something more basic to get your head around NNs, I recommend Denny Britz's "Neural Networks from Scratch":http://www.wildml.com/2015/09/implementing-a-neural-network-...I created a gist with a heavily commented version of his code:https://gist.github.com/sthware/c47824c116e6a61a56d9
[+] [-] imh|10 years ago|reply For a more thorough intro, I can't recommend anything better than this http://arxiv.org/abs/1506.00019
[+] [-] hellameta|10 years ago|reply This is a wonderful post. For anyone who'd like to see a nice intro to decision trees insofar as how they apply to machine learning, this is a nice post as well: http://www.r2d3.us/visual-intro-to-machine-learning-part-1/
[+] [-] deepGem|10 years ago|reply Another fantastic resource, from a programmer's perspective. Very little math. http://karpathy.github.io/neuralnets/
[+] [-] Houshalter|10 years ago|reply In theory yes, but these NN libraries are very difficult to set up. I remember it was a huge pain to get numpy working with lots of frustrations and learning technical things. Torch and theano are not supported on Windows at all.I've been looking at brain simulator recently. It has it's own installer and a decent GUI: http://www.goodai.com/#!brain-simulator/c81c [+] [-] wodenokoto|10 years ago|reply http://deeplearning.net/software/theano/install_windows.htmlIt seems like theano does work on Windows, but the install looks to be quite the pita. load replies (2)
[+] [-] wodenokoto|10 years ago|reply http://deeplearning.net/software/theano/install_windows.htmlIt seems like theano does work on Windows, but the install looks to be quite the pita. load replies (2)
[+] [-] make3|10 years ago|reply Some more information on LSTMs http://colah.github.io/posts/2015-08-Understanding-LSTMs/ [+] [-] williamtrask|10 years ago|reply excellent post
[+] [-] nicklo|10 years ago|reply Terrific post! Its great to see things implemented in short, 1-file programs. Tends to demystify things a lot.What did you use to make the diagrams + gifs? [+] [-] williamtrask|10 years ago|reply Glad you liked it! For the gifs... http://makeagif.com/
[+] [-] bravo|10 years ago|reply I can't if I can't access that link. [+] [-] williamtrask|10 years ago|reply not sure what happened...should be back up now. I'm guessing github hiccup
[+] [-] williamtrask|10 years ago|reply not sure what happened...should be back up now. I'm guessing github hiccup
[+] [-] digisth|10 years ago|reply
http://cs224d.stanford.edu/syllabus.html
If you want something more basic to get your head around NNs, I recommend Denny Britz's "Neural Networks from Scratch":
http://www.wildml.com/2015/09/implementing-a-neural-network-...
I created a gist with a heavily commented version of his code:
https://gist.github.com/sthware/c47824c116e6a61a56d9
[+] [-] imh|10 years ago|reply
[+] [-] hellameta|10 years ago|reply
[+] [-] deepGem|10 years ago|reply
[+] [-] Houshalter|10 years ago|reply
I've been looking at brain simulator recently. It has it's own installer and a decent GUI: http://www.goodai.com/#!brain-simulator/c81c
[+] [-] wodenokoto|10 years ago|reply
It seems like theano does work on Windows, but the install looks to be quite the pita.
[+] [-] make3|10 years ago|reply
[+] [-] williamtrask|10 years ago|reply
[+] [-] nicklo|10 years ago|reply
What did you use to make the diagrams + gifs?
[+] [-] williamtrask|10 years ago|reply
[+] [-] bravo|10 years ago|reply
[+] [-] williamtrask|10 years ago|reply
[+] [-] digisth|10 years ago|reply
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