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Hello,
I have only recently started investigating NPI and your algorithm-learning neural network but you video looks very good and I was able to install everything to start the training as per your github post.
With this in mind, and still being very new to lua, I looked through the code but did not see any command-line flags or switches that allows me to save, load, or test a trained network.
If you could please help me with this functionality then I would greatly appreciate it as I need to be able train a network to add, for example, and then save that network for later use when I will load it and feed some numbers to it for addition.
I would like to do this with some of the other functionality as well.
Any help would be greatly appreciated.
Cheers,
Lonnie
What are these symbols stand for? I cannot understand them by just reading the code.
local chars = {"q", "e", "s", "p", "a", "c", "y", "k", "v"}
Hi,
In Section 5, it is said that :
For each task, we train a separate model, starting with sequences of complexity 6 and incrementing
by 4 once it achieves 100% accuracy on held-out examples of the current length. Training stops
once the model successfully generalizes to examples of complexity 1000.
From this part, I cannot understand whether you meant the 100% accuracy in training set or test set. Or is help-out examples totally different ? I tried to get the idea from your code but it looks like a bit complicated.
After training on 30 million characters, the model hasn't achieved 100% accuracy on 2,4, or 6 characters (it gets stuck at about 60% on a per-character basis). I've left all the parameters to their default values. Do I need to change something, perhaps the random seed?
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