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name: helmholtz-machine description: "Routes the legacy binary Helmholtz Machine wake-sleep example, MNIST assumptions, output behavior, and NumPy compatibility troubleshooting." disable-model-invocation: true metadata: disco-role: operating license: Unlicense

Helmholtz Machine

Use this sub-skill for the repository's single one-layer binary Helmholtz Machine example trained with the wake-sleep algorithm.

Route here when

• The user asks how the wake-sleep example works.
• The user asks about recognition weights, generative weights, binary hidden units, binarized MNIST, or generated H/V image grids.
• The user needs to diagnose np.float, TensorFlow MNIST-loader, or working-directory failures in the Helmholtz Machine example.

Route elsewhere when

• GAN variants: ../gan/SKILL.md
• VAE variants: ../vae/SKILL.md
• Binary RBM CD/PCD: ../rbm/SKILL.md
• Shared catalog, provenance, and compatibility: ../../SKILL.md

Fast decisions

• This sub-skill owns only the binary wake-sleep example.
• The learning loop is NumPy after MNIST loading; TensorFlow is used only for the legacy loader.
• The example is useful for explaining wake-sleep intuition, not for modern production modeling.
• Preview image grids are written under a working-directory-local out/ folder in source checkouts.

Read next

• references/workflows.md for the wake/sleep phase breakdown.
• references/troubleshooting.md for Helmholtz-specific failures.
• ../../references/model-catalog.md for the repo-wide source artifact catalog.
• ../../references/compatibility.md for the shared legacy stack notes.
• ../../scripts/check_legacy_stack.py before claiming the unchanged example can execute.