neural-network #

A 3-5-5-2 layer network with flowing pulses through bezier-curved connections. Nodes activate in sequence as data propagates forward.

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⏮◀◀▶▶STEP0.25x1xZOOM

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practical uses #

01.Teaching neural network architecture to non-technical stakeholders
02.Visualizing forward propagation in ML presentations
03.Demonstrating layer-by-layer activation patterns
04.Creating intuitive mental models of how signals flow through networks

technical notes #

Uses cubic bezier curves for connections. Pulse position calculated via parametric cubic interpolation. Layer activation synchronized to global animation phase.

gradient-descent →