Supervised Sequence Labelling with Recurrent Neural Networks
Supervised sequence labelling is a vital area of machine learning, encompassing tasks such as speech, handwriting and gesture recognition, protein secondary structure prediction and part-of-speech tagging. Recurrent neural networks are powerful sequence learning tools robust to input noise and disto...
Guardat en:
| Autor principal: | |
|---|---|
| Format: | Livre numérique |
| Idioma: | Anglais |
| Publicat: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Edició: | 2012. |
| Col·lecció: | Studies in Computational Intelligence
385 |
| Accés en línia: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Supervised sequence labelling with recurrent neural networks, Alex Graves, Heidelberg, Springer, 2012, 1 vol. (XII-141 p.), Studies in Computational intelligence, 978-3-642-24796-5 • Supervised sequence labelling with recurrent neural networks, Alex Graves, Heidelberg, Springer, 2012, 1 vol. (XII-141 p.), Studies in Computational intelligence, 978-3-642-24796-5 • Supervised Sequence Labelling with Recurrent Neural Networks, Texte imprimé, 9783642247989 • Supervised sequence labelling with recurrent neural networks, Alex Graves, Heidelberg, Springer, 2012, 1 vol. (XII-141 p.), Studies in Computational intelligence, 978-3-642-24796-5 |
Taula de continguts:
- Introduction Supervised Sequence Labelling Neural Networks Long Short-Term Memory A Comparison of Network Architectures Hidden Markov Model Hybrids Connectionist Temporal Classification Multidimensional Networks Hierarchical Subsampling Networks