Hi,
Sadly your script doesn't seems to be consistence in output (prediction).
Just run it few times (press F5 refresh Chrome console and you will see different results).
Every aprox. 5+ time it's random, not stable, doesn't matter how many iterations while training.
Run it yourself.
`
<script type="text/javascript" src="/js/UNN.js"></script>
<script type="text/javascript" src="/js/UNN.util.js"></script>
<script>
var net = UNN.Create([
["inpt","line",2,1,1],
["full","sigm",2,1,1],
["full","sigm",1,1,1] ],
0.5);
var O = [];
var In = [[0,0],[0,1],[1,0],[1,1]], Ou = [[0],[1],[1],[0]];
var prm = { method:"sgd", batch_size:1 };
for(var i=0; i< 50000; i++){
UNN.Train(net,In,Ou,prm);
}
UNN.GetOutput(net, [0,0], O); console.log(O[2][0]); //should be aprox 0.0xxxx
UNN.GetOutput(net, [1,0], O); console.log(O[2][0]); // should be aprox 0.9xxxx
UNN.GetOutput(net, [0,1], O); console.log(O[2][0]); // should be aprox 0.9xxxx
</script>`
FIREFOX:
CHROME:
IE EDGE
Hi,
Sadly your script doesn't seems to be consistence in output (prediction).
Just run it few times (press F5 refresh Chrome console and you will see different results).
Every aprox. 5+ time it's random, not stable, doesn't matter how many iterations while training.
Run it yourself.
<script type="text/javascript" src="/js/UNN.js"></script> <script type="text/javascript" src="/js/UNN.util.js"></script> <script> var net = UNN.Create([ ["inpt","line",2,1,1], ["full","sigm",2,1,1], ["full","sigm",1,1,1] ], 0.5); var O = []; var In = [[0,0],[0,1],[1,0],[1,1]], Ou = [[0],[1],[1],[0]]; var prm = { method:"sgd", batch_size:1 }; for(var i=0; i< 50000; i++){ UNN.Train(net,In,Ou,prm); } UNN.GetOutput(net, [0,0], O); console.log(O[2][0]); //should be aprox 0.0xxxx UNN.GetOutput(net, [1,0], O); console.log(O[2][0]); // should be aprox 0.9xxxx UNN.GetOutput(net, [0,1], O); console.log(O[2][0]); // should be aprox 0.9xxxx </script>``
FIREFOX:
CHROME:
IE EDGE
