How to make Deep Ensemble Learning Model with Deep Learning toolbox
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Can someone show me how to build an example enseble deep network like is shown in figure 2 of attached zip?
See attached or via link https://www.mdpi.com/2076-3417/10/4/1504/pdf
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/431768/image.png)
https://www.mdpi.com/2076-3417/10/4/1504/pdf
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Paola Jaramillo
am 4 Dez. 2020
Hi Emil,
Regarding the networks: RNNs, GRU and LSTMs are definitely supported.
- Custom RNNs are more tricky to implement, you could use custom layers and custom training loops methods:
- https://nl.mathworks.com/help/deeplearning/deep-learning-custom-layers.html
- https://nl.mathworks.com/help/deeplearning/ref/dlarray.html
Regarding the ensemble method: the easiest way to ensemble deep learning models is to train different networks individually and then combine the predictions of all networks using one of the post-hoc ensemble approaches (e.g. average predictions or majority voting). To give you some ideas:
- https://blogs.mathworks.com/deep-learning/2019/06/03/ensemble-learning/
- https://nl.mathworks.com/help/deeplearning/ug/classify-videos-using-deep-learning.html
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