Fix issue #28 and #31

[intfloat]

Please see my comment on issue #28, the boundary condition is not handled correctly.

For issue #31, @VeliBaba didn't give any description about data, I doubt it is likely to be the same issue.

[intfloat]

Sorry, my pull request still contains bug, numpy.mean can't be applied directly if last batch has different batch_size.

I'll close this pull request, but original issue remains.

[VeliBaba]

Reducing learning rate sometimes helps. For this İ use old version of PDNN. İ change learning rate in the file 'training_state.tmp', and continue. But, it does not always help.

[intfloat]

I didn't say anything about learning rate.

I mean, this line of code contains bug:

https://github.com/yajiemiao/pdnn/blob/master/learning/sgd.py#L71

which might lead to nan when training, see my comment #28 (comment)

[VeliBaba]

Yes, I know. I said what I did

On Mon, Dec 14, 2015 at 12:20 PM, Liang Wang notifications@github.com
wrote:

I didn't say anything about learning rate.

I mean, this line of code contains bug:

https://github.com/yajiemiao/pdnn/blob/master/learning/sgd.py#L71

which might lead to nan when training, see my comment #28 (comment)
#28 (comment)

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#32 (comment).