Content deleted Content added
Citation bot (talk | contribs) Add: s2cid, author pars. 1-1. Removed parameters. Some additions/deletions were actually parameter name changes. | You can use this bot yourself. Report bugs here. | Suggested by Abductive | Category:Artificial neural networks | via #UCB_Category 96/168 |
|||
Line 12:
==Training==
BRNNs can be trained using similar algorithms to RNNs, because the two directional neurons do not have any interactions. However, when back-propagation through time is applied, additional processes are needed because updating input and output layers cannot be done at once. General procedures for training are as follows: For forward pass, forward states and backward states are passed first, then output neurons are passed. For backward pass, output neurons are passed first, then forward states and backward states are passed next. After forward and backward passes are done, the weights are updated.<ref name="Schuster" />
==Applications==
| |||