Dear Knimler,
many thanks for this great new version!
But experimenting with Deeplearning I got problems loading some of your public examples - e.g. 09_Simple_Anomaly_Detection_Using_AConvolutional_Net. I'm using KNIME (64bit) with all free extensions on a Windows 10 Prof. PC having 16GB MEM.
The error is related to the 'MNIST Fetcher' node which seems not to be part of the 'all free extension' package. After processing the steps below, I end up with: 'Cannot complete the install because of a conflicting dependency.' shown in the 'Install' window concerning KNIME IMage Processing - Deeplearning4JINtegration'.
Process
- Deinstalling all old KNIME versions from my PC
- INstallation of KNIME 3.2 via KNIME Full 3.2.0 Installer (64bit)
- AFter first Launch, the proposed new Updates, shown in the welcome area, are installed
- After Restart, Login to the public Server via the 'EXAMPLES'
- Double clicking on '09_Simple_Anomaly_Detection_Using_AConvolutional_Net', found at 04_ANalyses->14_Deep_Learning.
- During loading the 'Workflow contains missing nodes' message box appears, indicating that MNIST FEtcher is missing.
- The automatic extension finder fails
After activating the 'Stable Community Contributions' in 'Preferences->INstall/Update->Availyable Software Sites' the loading of the workflow (step 5 and 6) brings up the 'Install' window presenting the extension 'with the KNIME IMage Processing - Deeplearning4JINtegration. Pressing'Next' has no effect and clicking on the shown extension brings the 'Details' message: Cannot complete the install because of a conflicting dependency.
Have I missed something?
Best Erich