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Add some new features for ANN #146

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ZhangYuef
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To extend the universal support of ANN model I add the following new features for ANN:

  • Add dropout layer
  • Add embedding layer
  • Add two activation functions: relu and tanh
  • Revise some typos and mistaken representations in comments

Please check and comment on those code : )

- add dropout layer and its corresponding model.
- test it on Iris dataset with dropout rate setting as 0.2 get 0.96 accuracy if we do not use the dropout layer (dropout rate = 0) the accuracy is 0.88.
- add embedding layer and its corresponding model for ANN
- this is NOT a default setting for the construction of MLP forward topology
- add relu and tanh activation methods
- use them in feed forward topology part (path: `alink/operator/common/classification/ann/FeedForwardTopology.java`)
- use sigmoid as default one
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CLAassistant commented Sep 20, 2020

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@ZhangYuef ZhangYuef mentioned this pull request Sep 20, 2020
@LastBlackRose LastBlackRose mentioned this pull request Feb 9, 2022
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2 participants