Using Batch Norm & Using numeric check to cope with NaN without interrupt training

[yhyu13]

Using batch norm layer to achieve normalized inputs. Change batch size to 50. Using reduce_mean to judge loss independently from batch size.

[yhyu13]

Using numeric check is effective

You can now review real time tensorboard (because it used to be confused by models checkpoints)