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Add mnist to the test suite

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Single-layer Deep stack (28x28->256), has saved weights and a larger
training batch than the other mnist variants (test run took noticeably
longer). Passes: reconstruction error 0.005 vs. mean-baseline 0.067.
9/12 pass.

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 15:01:31 +02:00
co-authored by Claude Sonnet 5
parent 10cdd6fb9b
commit af35c0902d
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", "prims_deep", "count", "many", "mnist_deep", "mnist_h32", "mnist_21"};
std::vector<std::string> projects = {"1-hot", "prims", "norb_small_16h_v2", "norb_small_16h", "mnist_2", "prims_deep", "count", "many", "mnist_deep", "mnist_h32", "mnist_21", "mnist"};
int numPassed = 0;
for (const std::string &name : projects)