Added save_records to push monitor function and updated implementation of RNNs

Added save_records to push monitor function:
Initialize {batch, val, example, epoch, time} records of new monitor channels with those of old monitor channels in order to preserve and pass the training information, when re-training from the checkpoint. Now, it can be much easier to plot the whole curves. A user can use this functionality by setting save_records flag of push_monitor function into 1. 

Updated implementation of RNNs:
1. One could choose to use or not use the masks.
2. LSTM implementation has changed
3. included add_noise function which adds Gaussian noise to parameters
4. Recurrent weights are always orthogonally initialized using scipy.linalg.orth()


If you re-create all objects and restart from scratch, it would be better to place that in a different test function. Otherwise, if the first part fails, we don't know if the second part works.