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Feature: L1, L2 Regularizers #20

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WuZhuoran opened this issue Jul 11, 2019 · 2 comments · May be fixed by #21
Closed

Feature: L1, L2 Regularizers #20

WuZhuoran opened this issue Jul 11, 2019 · 2 comments · May be fixed by #21
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enhancement New feature or request

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@WuZhuoran
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We can implement Regularizer for each layer. The regularizers are applied on a per-layer basis. Here are 3 things that we can do:

  1. Regularizer Class.
  2. Layers class to use regularizer. (we can set a new parameter)
  3. Regularizer Documentation.
  4. Regularizer Test.

I will start a PR to solve 1 and 3. The rest part should be discussed before coding.
@WuZhuoran WuZhuoran mentioned this issue Jul 11, 2019
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@ddbourgin ddbourgin added the enhancement New feature or request label Jul 11, 2019
@WuZhuoran
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In order to avoid Keras or other package way of implementing this, we need to first discuss how to implement Regularizer in general. Then I will re commit everything.

@ddbourgin
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Closing due to inactivity

@sfsf9797 sfsf9797 mentioned this issue May 15, 2021
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Feature add regularizer base class WuZhuoran/numpy-ml
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@ddbourgin @WuZhuoran