## dwitter.net | #AI

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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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remix of d/23595 by u/TGY

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• Gradient Descent (iterative) algorithm used to calculate sqrt(2). The big dots are the two roots -sqrt(2) and +sqrt(2) of equation Y=X**3-X*2. The Gradient Descent is an optimization algorithm for finding a local minimum of a function near a starting point, taking successive steps in the direction of the negative of the gradient. x[n+1]=x[n]−η(∇f)xn where η is the "Learning Rate". Gradient Descent is widely used for training Machine Learning models. #neural #ai
• u/rodrigo.siqueira
Simple version that calculates sqrt(2). If you change initial "x" to -1, it will converge to -sqrt(2), that is the other root of the equation Y=X**3-X*2. Code: x = 1; learning_rate = .1; for(i=0;i<50;i++) { x = x - learning_rate * (x**3 - 2*x) } throw(x);

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

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

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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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• 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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