AURELIAN SYNAPSE| AETumi.app

TRAINING
09:57:14
AETumi parameters
2,237
weights + biases
Loss · MSE
0.0412
live, smoothed
Accuracy
71.4%
outputs within ±0.05
Epoch
001
1,000 samples each
Forward passes
300 / s
per second, in your browser
01AETumi Neural Loom · WebGL
Live MLP
17 → 26 → 30 → 21 → 14 · fully connected
Forward → backprop → updateDrag to orbit 360° · hover a neuron · click a layer to change its activationSignal field · Three.js
02AETumi training console
SGD
Loss curve
Learning rate
0.035
Samples seen
0
Best loss
—
Outputs vs target
AETumi weight stream
Live weights · green positive · red negative
Interactive Three.js template · AETumi.app

Aurelian Synapse — a neural network you can watch learn

Aurelian Synapse is not an animation of a neural network — it is one. A 17 → 26 → 30 → 21 → 14 multilayer perceptron with 2,237 parameters runs forward passes and backpropagation in your browser, hundreds of times per second, learning to imitate a hidden "teacher" network. Every neuron glows with its real activation and every one of the 2,146 golden weights is coloured by its real value.

What you can do

Signal pulses race along the strongest weights, the training console tracks loss, accuracy and outputs against targets, and the weight stream shows live numbers from each weight matrix.

Designed and built by AETumi Corp. Explore more Three.js and WebGL templates at aetumi.app/threejs — see also Sapphire Maelstrom, Aurum Singularity and Intelligence Router.

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