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Add prims_deep to the test suite

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2-layer DeepStack (9x9->24, 24->4), has saved weights and training data.
Passes: reconstruction error 0.0007 vs. mean-baseline 0.14 -- exercises
upDownPass through more than one layer for the first time in the suite.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_016K8Gu7Qejd11JbdiHZqYAs
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jens
2026-07-27 14:50:14 +02:00
co-authored by Claude Sonnet 5
parent 156babeb49
commit 82d019ba48
1 changed files with 1 additions and 1 deletions
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source/main.cpp
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@@ -90,7 +90,7 @@ TestResult testProject(const std::string &name)
int main()
{
std::vector<std::string> projects = {"1-hot", "prims", "norb_small_16h_v2", "norb_small_16h", "mnist_2"};
std::vector<std::string> projects = {"1-hot", "prims", "norb_small_16h_v2", "norb_small_16h", "mnist_2", "prims_deep"};
int numPassed = 0;
for (const std::string &name : projects)