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Introduction
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Classroom Contents
Recurrent Neural Networks and Models of Computation - Edward Grefenstette, DeepMind
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- 1 Introduction
- 2 Sequence Translation
- 3 Learning to Execute
- 4 Language Modeling
- 5 Experiments
- 6 Computational Hierarchy
- 7 Data Efficiency
- 8 Recurrent Networks
- 9 Attention
- 10 Attention to Sequence
- 11 Limitations
- 12 Readonly memory
- 13 Turing machine
- 14 Pushdown automata
- 15 Architectural Bias
- 16 Conclusion
