Convolutional RNN

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Convolutional RNN by Mind Map: Convolutional RNN

1. Introduction

2. Conclusion

3. Discussion

4. Abstract

5. Related work

6. Experiments

6.1. Emotion classification

6.2. Age and gender classification

6.3. Didn't use backpropogation through time (BPTT)

7. Convolutional LSTM

8. Extracting features

9. LSTM & bi-directional LSTM

10. CLSTM Architecutre

10.1. CLSTM

10.2. CBLSTM

10.3. Extended CLSTM

10.4. Max, mean, last pooling

10.5. Use hidden state, cell state, output as extracted feature

11. Evaluation metric.

11.1. Unweighted average (UA) recall

12. Convolution before RNN

13. Convolutional RNN