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7. More philosophical questions

    1. Can we design Boltzmann machines that are interpretable?


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      Problem 7.1.

      [Jason Morton] Can we design Boltzmann machines that are interpretable? In other words, can we construct useful Boltzmann machines that admit a simple explanation in human terms, and behaves in a predictable manner with certainty?

        • Are there biologically plausible extensions of Boltzmann Machines for neural networks?


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          Problem 7.2.

          Are there biologically plausible extensions of Boltzmann Machines for neural networks?

            • How to use RBMs to do statistical inference for a physical system, or properties of a network?


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              Problem 7.3.

              How to use RBMs to do statistical inference for a physical system, or properties of a network?

                • The differences between RBM variants


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                  Problem 7.4.

                  What are the differences between classical RBMs, Quantum RBMs, and Complex valued RBMs with quantum states?

                      Cite this as: AimPL: Boltzmann Machines, available at http://aimpl.org/boltzmann.