📝 Update description.props with changes

Description.props

@@ -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}

RELEASE.md

@@ -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).