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 . . . . .
Classification/Sequence/Supervised/Labelling/Probabilistic/机器/Networks/72.3/Methods/32/
Classification/Sequence/Supervised/Labelling/Probabilistic/机器/Networks/72.3/Methods/32/
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