juliusshufan opened a new pull request #9867: Using "uniform" Xavier strategy to initialize the weight for VGG network URL: https://github.com/apache/incubator-mxnet/pull/9867 ## Description ## This PR provide a potential solution for issue https://github.com/apache/incubator-mxnet/issues/9866 For detailed information, please check the issue. ## Checklist ## ### Essentials ### - [ ] Passed code style checking (`make lint`) - [ ] Changes are complete (i.e. I finished coding on this PR) - [ ] All changes have test coverage: - Unit tests are added for small changes to verify correctness (e.g. adding a new operator) - Nightly tests are added for complicated/long-running ones (e.g. changing distributed kvstore) - Build tests will be added for build configuration changes (e.g. adding a new build option with NCCL) - [ ] Code is well-documented: - For user-facing API changes, API doc string has been updated. - For new C++ functions in header files, their functionalities and arguments are documented. - For new examples, README.md is added to explain the what the example does, the source of the dataset, expected performance on test set and reference to the original paper if applicable - [ ] To the my best knowledge, examples are either not affected by this change, or have been fixed to be compatible with this change ### Changes ### example/image-classification/common/fit.py ## Comments ## This PR has been verified on Nvidia P40 and CPU machine
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