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LSTM gradient check fails #5

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bayerj opened this issue May 31, 2009 · 1 comment

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bayerj commented May 31, 2009

And has to be corrected:

[ RUN      ] TestGradient.LstmLayer
New Parametrized instance.
Numeric/Analytical:-0 <-> 0
Numeric/Analytical:-0 <-> 0
Numeric/Analytical:-0 <-> 2.11224
Numeric/Analytical:-0 <-> 0
Expected: (0.001) > (gradient_check(*net_p, true)), actual: 0.001 vs 2.11224

However, the examples give the same solutions as PyBrain. Or?

The text was updated successfully, but these errors were encountered:

Owner Author

bayerj commented Jun 3, 2009

This is due to gradient_check not being able to handle sequential modules so far.

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