Supervised Sequence Labelling with Recurrent Neural Networks by Alex GravesEnglish | PDF | 2012 | 148 Pages | ISBN : 3642247962 | 3.2 MB
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 distortion, able to exploit long-range contextual information—that would seem ideally suited to such problems. However their role in large-scale sequence labelling systems has so far been auxiliary.