Revision as of 09:26, 30 June 2025 edit Hooman Mallahzadeh (talk \| contribs) Extended confirmed users 4,638 edits m →Before modern ← Previous edit		Revision as of 10:45, 30 June 2025 edit undo Hooman Mallahzadeh (talk \| contribs) Extended confirmed users 4,638 edits →Configurations Next edit →
Line 38: ==Configurations== {{main\|Layer (deep learning)}} An RNN-based model can be factored into two parts: configuration and architecture. Multiple ~~RNN~~RNNs can be combined in a data flow, and the data flow itself is the configuration. Each RNN itself may have any architecture, including LSTM, GRU, etc. === Standard ===

Recurrent neural network: Difference between revisions