
Input, hidden and output layers of glowing neurons fire activation pulses that travel edge by edge through the network.
Training Curve

A loss curve draws itself down toward the floor line while the epoch and loss readouts tick along with the head.
Part of Networks & AI. New to this kind of graphic? Read How to Animate a Neural Network Diagram for a Video.
A loss curve draws itself down toward the floor line while the epoch and loss readouts tick along with the head. It belongs to the Networks & AI category on velements, where you edit it in the browser and download it as a finished video file.
Every control in the editor, grouped the same way there. Content: title and subtitle. Typography: font. Style: background, text color, primary, secondary, accent and thickness. Layout: aspect ratio and scale. Motion: duration, speed, variation and easing. Each change appears in the live preview straight away, and editing is free.
Training Curve runs 7.5 seconds by default, and you can set any length up to 60 seconds before you export. It plays once from start to finish, so it drops straight onto a cut or an opening.
Yes. Set the background to Transparent, then export a PNG sequence for Premiere Pro, After Effects, DaVinci Resolve, Final Cut Pro or Figma: import the first frame as an image sequence and it drops onto a track above your footage with a straight alpha channel. Export WebM with a VP9 alpha channel for the web and for CapCut. MP4 has no alpha channel, so it keeps a solid color or image behind the animation.
Yes. Each download comes with a perpetual commercial license in your name for client work, ads and products, and you may sell the edited clip on stock footage sites. Reselling the preset itself as an editable template is not allowed.

Input, hidden and output layers of glowing neurons fire activation pulses that travel edge by edge through the network.

A labelled node graph builds itself edge by edge with arrowed links, then packets run the routes between agents.

A glowing assistant orb moves through idle, listening, thinking and speaking, its waveform rising and falling with each state.

A metric traces along inside its normal band until one reading spikes clear of it and gets ringed and flagged.

A request packet carries the endpoint across to the API, the server pulses while it works, and the response returns with its status.

Each word in turn attends to the others, its links thickening with the weight it gives them as the heads cycle through.

New blocks with hash labels slide in, pulse and chain onto a scrolling ledger while data flows through the links.

A generated circuit board of chips, pads and angled copper traces carries glowing data pulses from pin to pin.