#4 Live Coding - Visualising a Neural Network in 3D with Blender - ArrayModifier & Materials

Опубликовано: 20 Октябрь 2024
на канале: CODE MENTAL

670

Today I managed to do a bit more progress on visualizing fully connected layers in a neural network using Python and Blender. I fixed the bug I shared yesterday.
The next stage will be to optimize my blender function so that it scales for thousands of neurons. The number of connections between neurons grows exponentially.

My plan is to create only a single sphere and cylinder, for the neuron and the connection only and then use ArrayModifiers to repeat each at different angles. I already know all the angles, so it should be doable.

Gist with source code, check links below under Source Code.

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✅ Article + Source Code

https://spltech.co.uk/visualizing-a-n...

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✅ TIMESTAMPS

0:00 Getting Started and plan
5:30 Adding a gap between adjacent neurons
7:46 Viewer suggests a video on using GANs inside blender
9:46 Experiment with ArrayModifier
10:36 Where is the ArrayModifier???
12:21 Relative offset and constant offset
17:00 Enabling Python Tooltips
18:00 Modifying Python code to use ArrayModifier with both relative offset and constant offset
30:00 Showing how to subdivide object created with ArrayModifier into loose parts
36:00 Adding gap between neurons horizontally
57:54 Adding gap between neurons vertically
1:04:30 Replacing cylinders with cuboids for synapses
1:07:00 Defining cube using from_pydata
1:15:00 Defining createCube function
1:28:00 Testing bigger neural networks
1:39:00 adding materials - PrincipledBSDF
1:46:00 Adding material to cube
2:00:00 Adding materials to synapses
2:21:00 Visualising with materials

#python #pythonforbeginners #blender #python3d #tensorflow