New #ai dweets | Dwitter

function u(t) {

c.width=1920 // clear the canvas
for(i=0;i<9;i++)
x.fillRect(400+i*100+S(t)*300,400,50,200) // draw 50x200 rects

} // 122/140

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    u(t) is called 60 times per second.
    t: Elapsed time in seconds.
    S: Shorthand for Math.sin.
    C: Shorthand for Math.cos.
    T: Shorthand for Math.tan.
    R: Function that generates rgba-strings, usage ex.: R(255, 255, 255, 0.5)
    c: A 1920x1080 canvas.
    x: A 2D context for that canvas.

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rodrigo.siqueira

function u(t) {

for(H=300,c.width|=i=2e3;i--;)A=i<H?(B=1,0):i<600?(B=-.2,1):i<900?(B=0,-.2):B=0,x.fillRect(i,600-(2*t&1)*(A-A*(μ=.5-C(i%H/94)/2)+B*μ)*H,6,6)

Mar 18 2019 5:57 PM UTC

}// 140/140

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Pulses of a single neuron in a Spiking Neural Network (SNN) using cosine interpolation with 4 intervals: depolarization (rising curve), repolarization (falling curve), refractory (recovery period) and resting potential (continuous line). #neural #ai

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rodrigo.siqueira

function u(t) {

N=156*t;if(t<1)for(W=c.width|=i=8;i--;)for(j=8;j--;)x.lineTo(0,i*N),x.lineTo(W,j*N),x.moveTo(W,i*N),x.stroke()

Mar 17 2019 1:23 AM UTC

}// 110/140

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Multi-layer fully connected neural network in 110 characters. #neural

u/katkip

#ai
u/Jezza

Can it dweet?

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rodrigo.siqueira

function u(t) {

c.width|=σ=(X)=>{return 1/(1+Math.pow(Math.E,-X))}
for(i=-500;i<500;i++)
x.fillRect(i+950,820-σ(i/30*C(t*2)+Math.random()*2)*400,5,5)

Mar 4 2019 8:41 PM UTC

}// 133/140

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Sigmoid activation function used in Artificial Neural Networks. Animation shows changes of neural weights plus a random bias.

u/pavel

I often use sigmoids for movement. The ease-out / ease-in looks great. I used 1/(1+1e9**(.5-t%1)) in d/11146 for the 'jumps'.
u/katkip

#sigmoid #math
u/katkip

also #ai
u/rodrigo.siqueira

also #neural

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katkip

function u(t) {

r=Math.random;t||(v=0,V=0,X=960,Y=540);x.fillRect(X,Y,9,9);X+=V+=r()-.5;Y+=v+=r()-.5
X>1920?X=0:0
Y>1080?Y=0:0
X<0?X=1920:0
Y<0?Y=1080:0

Feb 2 2019 4:42 PM UTC

}// 136/140

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Dweety the infinite ant #velocity #ai

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katkip

function u(t) {

eval(unescape(escape`稽䵡瑨⹲慮摯活楦⠡琩筘㵛崬夽孝ⱑ㴰ⱗ㴰㭦潲⡩㴱〻椭ⴻ⥘⹰畳栨稨⤪㤶〩ⱙ⹰畳栨稨⤪㤶〩㭦潲⡰⁩渠堩儫㵘孰崬圫㵙孰崬砮晩汬剥捴⡘孰崬奛灝ⰹⰹ⤻砮浯癥呯⠰ⰰ⤻砮汩湥呯⡑⼵ⱗ⼵⥽砮獴牯步⠩`.replace(/u(..)/g,"$1%")))

Dec 8 2018 7:54 PM UTC

}// 138/140

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I tried to make a similar algorithm to the linear regression algorithm! Machine learning #ai prediction inside dwitter! If you think this doesn't deserve an awesome, search on google what is linear regression ;) I couldn't golf all the formulas so I used the mean calculus. z=Math.random;if(!t){X=[],Y=[],Q=0,W=0;for(i=10;i--;)X.push(z()*960),Y.push(z()*960);for(p in X)Q+=X[p],W+=Y[p],x.fillRect(X[p],Y[p],9,9);x.moveTo(0,0);x.lineTo(Q/5,W/5)}x.stroke()

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jonathan-potter

function u(t) {

c.width+=0
r=z=>Math.random()-.5
a=this.a||[...Array(1e4)].map(z=>[4e3*r(),3e3*r(),r(),r()])
a.map(b=>x.fillRect(b[0]+=b[2],b[1]+=b[3],7,7))

Oct 26 2018 9:13 PM UTC

}// 140/140

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random moving objects using window.a for persistence #floatingobjects

u/pavel

Js puts all vars into global namespace if you don't use 'var' or 'let' and t starts at 0 so you can do t?a.map(...):a=[...]
u/katkip

#ai

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cantelope

function u(t) {

eval(unescape(escape`瑼簨愽戽挽搽〩㭸⹦楬汓瑹汥㵠桳污⠤筴⨨朽㌷⥽ⰹ㤥ⰹ┬⸲怬砮晩汬剥捴⠰ⰰⱶ㴱㤲〬眽㄰㠰⤬砮捬敡牒散琨愫㵣㵓⡰㵍慴栮慴慮㈨挪㵡㹶ⵧ籼愼〿ⴱ㨱Ɽ⨽戾眭杼籢㰰㼭ㄺㄩ⬱⵴⩧┲⤪本戫㵤㵃⡰⤪本本朩`.replace(/u(..)/g,"$1%")))

Sep 20 2018 1:45 AM UTC

}// 140/140

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u/katkip

#ai

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acorv

function u(t) {

c.width=1920;for(i=1;i<400;i++)j=i%20,w=t*5+j*9+i/600,x.beginPath(),x.arc(960-940*S(w/7)*C(w/3),540-520*S(w/2)*C(w/9),i/20,0,7),x.fill();

Sep 5 2018 3:32 PM UTC

}// 137/140

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u/donbright

i stare at this at night... i see gray trails!!!
u/joeytwiddle

Could be your monitor is old, or your eyes
u/fujimotos

Oh hey, I can see the gray tails too. It appears when I don't focus on an individual node and try to watch the whole screen.
u/katkip

It's not deep learning but I will #ai this.
u/iverjo

My cat reacts to this ^^ She tries to catch the "fishes"

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katkip

function u(t) {

r=[];i=[0,1,0,1];o=[0,0,0,1];for(l=0;l<4;l++)r.push(((S(o[l]**i[l])/Math.E**199.18821)*10)%3?1:0);x.font="2in Verdana";x.fillText(r,600,617)

Aug 2 2018 12:29 AM UTC

}// 140/140

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AI - Simple neural network learns how to check if two items are the same in two arrays. First two: yes, second two: no... yes... yes... with i=[0,1,0,1];o=[0,0,0,1]

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magna

function u(t) {

t||(d=c.cloneNode()).getContext('2d').fillText('🐱',0,15)
T.valueOf=Math.random
s=55
x.drawImage(d,X=T*20,Y=T*20,T,T,X*s+580,Y*s,s*T,s*T)

Jun 7 2018 3:04 AM UTC

}// 137/140

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A three-way adversarial deep neural network learning to draw a cat.

Show more comments…
u/DataMeta

this is clever af
u/BirdsTweetCodersDweet

How is it a neural network? You're just drawing random squares on a cat emoji :P
u/pythech

whoosh
u/magna

Yeah, sorry, it was a bad joke. Just transferring random rectangles from an off-screen canvas. The only catch is the use of valueOf to cut down on the function call ()s.
u/iverjo

Clever indeed!
u/rodrigo.siqueira

#neural
u/katkip

#ai

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