DL Python Network Learner

[mlauber71]

@Asa_66 you will have to finde the right combination of Python versions and Kerr’s/Tensor Flow versions - not every combination will be compatible - therefore I recommend reading the links and examples that I have provided again. You will have to find the right combination

AttributeError: module ‘keras.optimizers’ has no attribute ‘Adam’

@akhtarameen as it happens I just have collected some example how to set up Keras and Tensor Flow 2 (for classification tasks) with the help of the Conda Environment propagation. If you have a working Miniconda or Anaconda environment configured in KNIME you should be able to just use the propagation and get a working deep learning setup. You would then have to carefully check and plan what you want to d with the setup and what architecture you want to use. [image] [image] The setup in …

@MarcelW what would be great if KNIME could provide consistent recommendations with conda-forge (licensing) based YAML files and Conda Environment propagations for Windows, MacOSX and Linux for several scenarios - I have tried to come up with some examples based on the ones on the hub but it is maybe not so easy to follow them. I know KNIME is working on deeper integration with Anaconda but such examples might still be useful.

[Asa_66]

Unfortunately,
tensorflow 2
replacement did not helped

[Asa_66]

The example shows that they worked successfully in a combination of Python 3.9.7
KNIME 4.5.0 Anaconda 4.3.11
I have respectively 3.9.7, 4.5.1, 4.3.10
How important is that Keras 2.6.0, and the version of Knime requires < 2.0?

[Asa_66]

in the process with fine tuning, network Creditor worked
in combination with
anaconda 4.11.0
python 3.8.12
keras 2.4.3
tensorflow 2.3.0
knime 4.5.0
but node:
DL Python
Network Learner
execution error:
python program terminated
exeption occurred while running Python kernel