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Blender Neural Network Render — Deep Wiki

Agentic PDLC knowledge base for animating and rendering a number-classifier neural network in Blender using real trained weights.

Open source Repository Open in the app JSON

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# Blender Neural Network Render — Deep Wiki

This bundle is an **OKF (Open Knowledge Format) deep wiki** decomposing the agentic pipeline for visualizing a [4, 6, 5, 3] Iris-flower classifier neural network as a Blender animation. It covers everything from training real network weights through scene construction, signal animation, and headless rendering to a final MP4.

The source is a user-provided Blender Python script (`scripts/blender_nn_render.py`) plus the SkillOpt repository context. Four bugs in the original script are catalogued and fixed. The improved script embeds a NumPy-trained Iris classifier whose weights drive synapse colors and neuron glow in the final render.

## Directory map

```
docs/blender-render-wiki/
├── index.md this file
├── log.md change history
├── stages/ the 5 PDLC pipeline stages in order
├── concepts/ 5 core ideas (architecture, geometry, encoding, animation)
├── blender-api/ 4 Blender Python API reference files
└── script-reference/ original bug catalo

Details

Kind
OKF bundles
Topic
Productivity
Publisher
smeyerhuky
Origin
okf_github
Category
dados
Version
0.1
Added
2026-09-09 12:07:44
Updated
2026-09-09 12:07:44
Origin id
smeyerhuky/blender-agent-workspace:docs/blender-render-wiki/index.md

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