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Day 10: Training an RNN to count to three
Yesterday I was trying to train an RNN to generate English that sounds kind of like Shakespeare. That was not working, so today I instead tried to do something MUCH simpler: train an RNN to generate sequences like
0 1 2 0 1 2 0 1 2 0 1 2
and slightly more complicated sequences like
0 1 2 1 0 1 2 1 0 1 2 1 0 1 2 1 0
I used (I think) the exact same RNN that I couldn’t get to work yesterday to generate English by training it on Shakespeare, so it was cool to see that I could at least use it for this much simpler task (memorize short sequences of numbers).
the jupyter notebook
It’s late so I won’t explain all the code in this blog post, but here’s the PyTorch code I wrote to train the RNN to count to three.
- Here it is as a github gist
- and here it is on Colab if you want to run it yourself
In the gist there are a few experiments with different sequence lengths, like (unsurprisingly) it takes longer to train it to memorize a sequence of length 20 than a sequence of length 5.
simplifying is nice
I’m super happy that I got an RNN to do something that I actually understand! I feel pretty hopeful that on Monday I’ll be able to go back to the character RNN problem of trying to get the RNN to generate English words now that I have this simpler thing working.
via: https://jvns.ca/blog/2020/11/20/day-10--training-an-rnn-to-count-to-three/
作者：Julia Evans 选题：lujun9972 译者：译者ID 校对：校对者ID