VariationalRecurrentNeuralNetwork
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clipping before optimizing step.
@emited Please check and let me know.
- Added clipping before the optimizer step.
- Updated with .item() rather than .data[0]
- Input is normalized but the reconstruction is done for the unnormalized image so this is removed
- Loss get's NAN sometimes and so added 1e-5 as epsilon in the std2 denominator