[REG] what mse do you get from the mnist examples

[bhomass]

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Description

[Description of the issue]

Link

I ran through the example code in gaussian_rbm_training.py.
after 5 epochs, the mse is at 253.189896
then I followed up with reconstruction, and the mse jumps to 253349.031250, which is of course useless.

I can increase the epoch counts, but for now, I just want to make sure I am repeating what you see on your side.

Steps to Reproduce

1. [First Step] copy the code from gaussian_rbm_training.py, and run it inside a jupyter notebook
2. [Second Step] run thru training without any parameter change. get mse = 253.189896
3. [...] then run the reconstruction code as is, get mse == 253349.031250,

Expected behavior: [It should be what you expect to happen]
mse value a lot closer to the training loop values

Actual behavior: [What actually happens]
mse is orders of magnitude worse on reconstruction

Reproduces how often: [How much does it occur? Show us your percentage]

Additional Information

Any additional information, configuration or data that might be necessary to reproduce the issue.