This semester in college I took a computer vision course. In this course, I was required to write a program that can determine if the silhouette of an image is a dog, cat, bird, or dolphin. This program was required to use a Neural Network. Me being very well versed in Lua decided to implement my assignment in Lua/Löve. I extracted the Lua Neural Network and put it in its own GitHub repository. I am really interested in Neural Networks so I plan to expand on this a great deal, but currently, it is extremely simple. I based this code off of a gist I found online. Attached is a horrible example in use. Hopefully, I will make a better example in the future.
https://github.com/Bobbyjoness/LuaNeuralNet/tree/master
Lua Neural Network
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Lua Neural Network
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Re: Lua Neural Network
What's the code doing? I see some line only.
My boat driving game demo: https://dusoft.itch.io/captain-bradley- ... itius-demo
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Re: Lua Neural Network
It is training the neural net to classify birds, dogs, cats, and dolphins. The line is the softmax value. Essentially its Accuracy/Epoch.
Edit: I meant its accuracy as y and x is epoch(training cycle) it is a graph.
Edit: I meant its accuracy as y and x is epoch(training cycle) it is a graph.
Re: Lua Neural Network
Hi! I wrote this code using your Network but it doesn't work.
What am I missing?
That just prints 1.
What am I missing?
Code: Select all
local NeuralNetwork = require("lnn")
math.randomseed(os.time())
local nn = NeuralNetwork.create(2, 1, 2, 2, 0.3)
local training_data = {
{
inputs = {0, 1},
target = {1}
},
{
inputs = {1, 1},
target = {0}
},
{
inputs = {1, 0},
target = {1}
},
{
inputs = {0, 0},
target = {0}
}
}
for i = 1, 2000 do
local data = training_data[math.random(#training_data)]
nn:backwardPropagate(data.inputs, data.target)
end
print(nn:forwardPropagate({0, 1})[1])
print(nn:forwardPropagate({1, 1})[1])
print(nn:forwardPropagate({0, 0})[1])
print(nn:forwardPropagate({1, 0})[1])
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Re: Lua Neural Network
Cool as hell
A guy made something lsimilar back in april, you might enjoy talking with him and sharing notes bobby.
viewtopic.php?f=5&t=85089&p=226763&hilit=neural#p226763
A guy made something lsimilar back in april, you might enjoy talking with him and sharing notes bobby.
viewtopic.php?f=5&t=85089&p=226763&hilit=neural#p226763
Back in the saddle again.
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Re: Lua Neural Network
I pushed a fix to my repo. The softmax function didn't account for a singular output. Also, you have to up the training cycles to a much higher quantity if you want the neural net to output a 1. You can also play with the learning rate and etc.caralse wrote: ↑Fri May 17, 2019 9:52 am Hi! I wrote this code using your Network but it doesn't work.
What am I missing?
That just prints 1.Code: Select all
local NeuralNetwork = require("lnn") math.randomseed(os.time()) local nn = NeuralNetwork.create(2, 1, 2, 2, 0.3) local training_data = { { inputs = {0, 1}, target = {1} }, { inputs = {1, 1}, target = {0} }, { inputs = {1, 0}, target = {1} }, { inputs = {0, 0}, target = {0} } } for i = 1, 2000 do local data = training_data[math.random(#training_data)] nn:backwardPropagate(data.inputs, data.target) end print(nn:forwardPropagate({0, 1})[1]) print(nn:forwardPropagate({1, 1})[1]) print(nn:forwardPropagate({0, 0})[1]) print(nn:forwardPropagate({1, 0})[1])
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