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basedrhys committed Nov 18, 2020
2 parents 174759d + 6b0201a commit 6073ace
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2 changes: 1 addition & 1 deletion Description.props
Expand Up @@ -27,7 +27,7 @@ License=GPL 3.0

Description=Provides access to classifiers and filters using the Deeplearning4j library. Deep neural networks can be built using a multitude of different layers, activations, lossfunctions and more. See https://deeplearning.cms.waikato.ac.nz/install#add-gpu-support to add CUDA support.

Changes=Update Deeplearning4j API to dl4j 1.0.0-beta
Changes=Add new Dl4jCNNExplorer class and `Dl4j Inference` panel to use it. Also implemented ScoreCAM and integrated it into the Dl4jCNNExplorer.

# Package URL for obtaining the package archive (required)
PackageURL=https://github.com/Waikato/wekaDeeplearning4j/releases/download/v{VERSION}/{ZIP_NAME}
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10 changes: 5 additions & 5 deletions RELEASE.md
Expand Up @@ -4,16 +4,16 @@
```bash
$ ./gradlew test
```

2. Also test the package in the GUI by doing the test cases outlined in [GUI-TEST.md](./GUI-TEST.md)

3. Increase the version and tag the release with the new version. The `version-bump.sh <old-version-tag> <new-version-tag>` script might be helpful.

4. Create ZIP files in `./release-files` for each package and generate their sha256 sums with:
4. Add a blurb of changes to the `Changes` section in `Description.props`

5. Create ZIP files in `./release-files` for each package and generate their sha256 sums with:
```bash
$ ./make-release-files.sh
```
6. [Draft a new GitHub release](https://github.com/Waikato/wekaDeeplearning4j/releases/new), add a changelog and the sha256 sums that were generated during (4) in `release-files/sums.sha256`

5. [Draft a new GitHub release](https://github.com/Waikato/wekaDeeplearning4j/releases/new), add a changelog and the sha256 sums that were generated during (4) in `release-files/sums.sha256`

6. Upload all ZIP files and sh/ps1 scripts in the `release-files` directory generated in step (3).
7. Upload all ZIP files and sh/ps1 scripts in the `release-files` directory generated in step (3).

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