//Made by Baron class BaronsMatrix { constructor(a,b) { this.r=a; this.c=b; this.d=Array(a).fill().map(()=>Array(b).fill(0)); } static array(a) { return new BaronsMatrix(a.length,1).map((e,i)=>a[i]); } static sub(a,b) { if(a.r!==b.r||a.c!==b.c) return console.log("A's size doesn't match B's"); return new BaronsMatrix(a.r,a.c).map((_,i,j)=>a.d[i][j]-b.d[i][j]); } array() { var arr=[]; for(var i=0;iMath.random()*2-1); } copy() { var m=new BaronsMatrix(this.r,this.c); for(var i=0;ie+a.d[i][j]); } return this.map(e=>e+n); } static transpose(a) { return new BaronsMatrix(a.c,a.r).map((_,i,j)=>a.d[j][i]); } static mult(a,b,c) { if(a.c!==b.r) return console.log("A's size doesn't match B's"+c); return new BaronsMatrix(a.r,b.c).map((e,i,j)=>{ var sum=0; for(var k=0;ke*a.d[i][j]); } return this.map(e=>e*a); } static load(a) { if(typeof a==="string") a=JSON.parse(a); var m=new BaronsMatrix(a.r,a.c); m.d=a.d; return m; } string() { return JSON.stringify(this); } //-... .- .-. --- -. map(a) { for(var i=0;ib(a.d[i][j],i,j)); } } class acf { constructor(f,d) { this.f=f; this.d=d; } } var af=.01; var sigmoid=new acf(x=>1/(1+Math.exp(-x)),y=>y*(1-y)); var tanh=new acf(x=>Math.tanh(x),y=>1-(y*y)); var lrelu=new acf(x=>Math.max(af*x,x),y=>y>0?1:af); var elu=new acf(x=>x>=0?x:af*(Math.exp(x)-1),y=>y>0?1:af*Math.exp(y)); class BaronsNetwork { constructor(a) { this.arch=a; this.lay=[]; for(var i=0;i=0;i--) { if(i===0) curerr=this.lay[i].moldValues(thos[i],inp,curerr); else curerr=this.lay[i].moldValues(thos[i],thos[i-1],curerr); } } distortValues(a,b) { for(var i=0;i{ if(typeof val==="object"&&val!==null) { if(cac.indexOf(val)!==-1) return; cac.push(val); } return val; }); return res; } static load(a) { if(typeof a==="string") a=JSON.parse(a); var n=new BaronsNetwork(a.arch); var laycac=[]; a.lay.map(e=>{ var nlay=new BaronsNetworkLayer(n,e.w.c,e.w.r); nlay.w=BaronsMatrix.load(JSON.parse(JSON.stringify(e.w))); nlay.b=BaronsMatrix.load(JSON.parse(JSON.stringify(e.b))); laycac.push(nlay); }); n.lay=laycac; return n; } } class BaronsNetworkLayer { constructor(a,b,c) { this.p=a; this.w=new BaronsMatrix(c,b).randomize(); this.b=new BaronsMatrix(c,1).randomize(); } think(a) { return BaronsMatrix.mult(this.w,a).add(this.b).map(this.p.ac.f); } distortWeights(a,b) { this.w.map(x=>Math.random()Math.random()); var gr=getColor(col); n.train(col,gr); } if(Date.now()-l>50) { l=Date.now(); np=ctx.createImageData(w,h); for(var i=0;ix/255)).map(x=>Math.round(x*255)); np.data[i*4]=col[0]; np.data[i*4+1]=col[1]; np.data[i*4+2]=col[2]; np.data[i*4+3]=255; } } ctx.drawImage(im,0,innerHeight/2-h/2,w,h); ctx.putImageData(np,w,innerHeight/2-h/2); } setInterval(frame);

Grayscaling an image with an AI (Neural Network)