Supervised Sequence Labelling with Recurrent Neural Networks

• Main Author: Graves, Alex (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2012.
• Series: Studies in Computational Intelligence, 385
• Subjects: Engineering.; Artificial intelligence.; Computational intelligence.; Computational Intelligence.; Artificial Intelligence (incl. Robotics).

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...

Table of Contents:

• 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.