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# Implementation of L1, L2, ElasticNet, GroupLasso and GroupSparseRegularization
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1. Publication available here: [https://towardsdatascience.com/different-types-of-regularization-on-neuronal-network-with-pytorch-a9d6faf4793e]
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1. Implemented in __pytorch__. This is an attempt to provide different type of regularization of neuronal network weights in pytorch.
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2. The regularization can be applied to one set of weight or all the weights of the model
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| **GL** | 7.5 | 5 | 0 |
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| **SGL** | 92.5 | 85 | 30 |
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| **FC** | 0 | 0 | 0 |
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| **FC with Weight decay** | 0 | 0 | 0 |
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| **FC with Weight decay** | 0 | 0 | 0 |

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