Supervised sequence labelling with recurrent neural networks.pdf


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2026-05-27
Classification Sequence Supervised Labelling Probabilistic 机器 Networks 72.3 Methods 32
5.7 MB

Supervised Sequence Labelling with Recurrent
Neural Networks
Alex Graves
Contents
List of Tables iv
List of Figures v
List of Algorithms vii
1 Introduction 1
1.1 Structure of the Book . . . . . . . . . . . . . . . . . . . . . . . . 3
2 Supervised Sequence Labelling 4
2.1 Supervised Learning . . . . . . . . . . . . . . . . . . . . . . . . . 4
2.2 Pattern Classification . . . . . . . . . . . . . . . . . . . . . . . . 5
2.2.1 Probabilistic Classification . . . . . . . . . . . . . . . . . . 5
2.2.2 Training Probabilistic Classifiers . . . . . . . . . . . . . . 5
2.2.3 Generative and Discriminative Methods . . . . . . . . . . 7
2.3 Sequence Labelling . . . . . . . . . . . . . . . . . . . . . . . . . . 7
2.3.1 Sequence Classification . . . . . . . . . . . . . . . . . . . . 9
2.3.2 Segment Classification . . . . . . . . . . . . . . . . . . . . 10
2.3.3 Temporal Classification . . . . . . . . . . . . . . . . . . . 11
3 Neural Networks 12
3.1 Multilayer Perceptrons . . . . .


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