From f77c46d0c8581674be18ee5aa08736930dece404 Mon Sep 17 00:00:00 2001 From: Claire Vlases Date: Wed, 25 Feb 2026 14:31:36 -0500 Subject: [PATCH] minor link fix --- documentation/saliency_tool_documentation.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/documentation/saliency_tool_documentation.md b/documentation/saliency_tool_documentation.md index a1e33e8..c3f3ff7 100644 --- a/documentation/saliency_tool_documentation.md +++ b/documentation/saliency_tool_documentation.md @@ -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."