minor link fix

2026-02-25 14:31:36 -05:00
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@@ -25,7 +25,7 @@ The core question it answers: *when a model classifies an image, which pixels dr

 ## How It Works

-![node](../the_node.png)
+![node](../documentation/the_node.png)


 All eight supported models are **convolutional neural networks (CNNs)** trained on ImageNet, which is a dataset of 1.2 million images across 1,000 categories. The training process adjusts millions of numerical weights until the network can reliably distinguish between categories like "labrador retriever," "coffee," and "duck."