Skip to content

WekaDeeplearning4j v1.7.0

Compare
Choose a tag to compare
@basedrhys basedrhys released this 22 Nov 20:51
· 59 commits to master since this release

Changelog

  • Introduce the new Dl4jCNNExplorer class (usage examples), which allows you to use zoo models or custom trained models to perform prediction on an individual image, without loading a .arff dataset.
  • Implement the ScoreCAM saliency map generation method and integrate it with the Dl4jCNNExplorer (usage examples).
  • Implement a progress bar (for command line and GUI) to aid usability with long-running tasks.

SHA256 sums

  • wekaDeeplearning4j-1.7.0.zip
    0d03b8702268fa7c6a904d587bf3f4356d0ad5edca8f4a778bfb313863e6b319
  • wekaDeeplearning4j-cuda-10.0-1.7.0-linux-x86_64.zip
    e06b70490b5caeab8ae1f11ac9afcd49ca8e671401183cbe562cc42858be63a6
  • wekaDeeplearning4j-cuda-10.0-1.7.0-windows-x86_64.zip
    8e1076c8e9a534b96f4314da0d8dcfbf6982b1e0206770ea51e8c994f669a15b
  • wekaDeeplearning4j-cuda-10.1-1.7.0-linux-x86_64.zip
    153fce7c627fccad6ddf13d0b1edf7ffb7d8d3b6e17db6947fb1da6bcc86e6ee
  • wekaDeeplearning4j-cuda-10.1-1.7.0-windows-x86_64.zip
    97b3140f4641288d4ebd56b9c398afc2cb9fccc11036ab57b9db6808f0fef9f0
  • wekaDeeplearning4j-cuda-10.2-1.7.0-linux-x86_64.zip
    a013a616b52bfda3541e10ecf720a9ee6e98842f599972e10634883ddcd697b3
  • wekaDeeplearning4j-cuda-10.2-1.7.0-windows-x86_64.zip
    f94418525efde2488d9483abc8685bf6051061a8d72a65279bbbc0d29bf5b9c1