bourdakos1/CapsNet-Visualization
🎆 A visualization of the CapsNet layers to better understand how it works
This tool helps AI researchers and students understand how Capsule Networks interpret images. You input your own images or use built-in examples, and it visualizes the internal processing of the network, showing how features are grouped and recognized. It's designed for anyone studying or working with advanced neural network architectures.
395 stars. No commits in the last 6 months.
Use this if you are an AI researcher or student trying to gain deeper insights into the internal workings of a Capsule Network and how it 'sees' and classifies objects in images.
Not ideal if you are looking for a tool to train Capsule Networks or to perform image classification; this is purely for visualization and understanding existing network structures.
Stars
395
Forks
92
Language
Python
License
MIT
Category
Last pushed
Oct 05, 2021
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