|
1 |
Revision n. 1
|
|
Conceptually, recurrent neural networks are not at all new. However, they've been largely relegated to academia because they were intractable to learn.
Some recent advances in hessian-free methods have made them more viable, though the authors' paper is awaiting publication.
|
|
2 |
Revision n. 2
|
|
Conceptually, recurrent neural networks are not at all new. However, they've been largely relegated to academia because they were intractable to learn.
Some recent advances in hessian-free methods have made them more viable, though the authors' paper is awaiting publication.
I list this because it's an emerging area that has a lot of potential if RNNs can be made to work well.
