Any examples for DL python stuffs in the KNIME 3.5

KNIME Extensions Deep Learning
#1

It would be very nice to know that the recent update of KNIME 3.5 included Keras.

I have tried to put some Keras codes in the DL Python Network Editor and DL python Network Learner such as

model = Sequential(), model.add(...), model.add(...), model.fit(...), model.evaluate(...) etc.

 

However, it was not clear for me to set up the Editor and the Learner exaclty.

I am wondering if there are some examples or need some help to start to use this wonderful stuff.

 

Thanks in advances.

#2

Hey Thinkchem!

We'll upload a few example workflows on our example server this week. 

Sorry for the delay :-)

Christian

#3

We just uploaded some example workflows to our example server. I hope that helps you getting started.

#4

Dear Christian,

 

What a wonderful job!

I just tried to run all workflows you mentioned about Keras and figured out that all are running very well.

For me, it must be a very good starting point to delve into deep learning using KNIME platform.

If you allow me to ask more, some sophisticated model like LSTM, GAN, etc will be a good asset in terms of DL model

and some application workflows in conjunction with other KNIME nodes like object detections & countings, regression for industrial use, text mining etc would be another benifit to this open innovative society.

 

Anyway, I am more than happier to know KNIME has the very strong functionality and I thank you so much to all in KNIME.

 

Best,

#5

Hi thinkchem,

Thanks for your kind feedback, we really appreciate it!

We will gradually add more example workflows to the example server that cover different applications beside image classification, so stay tuned :).

Marcel