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Mon 21 Jul 22:43:21 CEST 2025

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sbosse 2025-07-21 23:07:37 +02:00
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commit 3f046fddc3
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js/ml/HiddenLayer.js Normal file
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/**
* Created by joonkukang on 2014. 1. 12..
*/
var math = Require('ml/math');
var HiddenLayer = module.exports = function (settings) {
var L = {}
var self = L;
self.input = settings['input'];
if(typeof settings['W'] === 'undefined') {
var a = 1. / settings['n_in'];
settings['W'] = math.randMat(settings['n_in'],settings['n_out'],-a,a);
}
if(typeof settings['b'] === 'undefined')
settings['b'] = math.zeroVec(settings['n_out']);
if(typeof settings['activation'] === 'undefined')
settings['activation'] = math.sigmoid;
self.W = settings['W'];
self.b = settings['b'];
self.activation = settings['activation'];
return L;
}
HiddenLayer.code = {
output : function(L,input) {
var self = L;
if(typeof input !== 'undefined')
self.input = input;
var linearOutput = math.addMatVec(math.mulMat(self.input,self.W),self.b);
return math.activateMat(linearOutput,self.activation);
},
linearOutput : function(L,input) { // returns the value before activation.
var self = L;
if(typeof input !== 'undefined')
self.input = input;
var linearOutput = math.addMatVec(math.mulMat(self.input,self.W),self.b);
return linearOutput;
},
backPropagate : function (L,input) { // example+num * n_out matrix
var self = L;
if(typeof input === 'undefined')
throw new Error("No BackPropagation Input.")
var linearOutput = math.mulMat(input, math.transpose(self.W));
return linearOutput;
},
sampleHgivenV : function(L,input) {
var self = L;
if(typeof input !== 'undefined')
self.input = input;
var hMean = HiddenLayer.code.output(self);
var hSample = math.probToBinaryMat(hMean);
return hSample;
}
}