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Submission GuidelinesHello,
After used the new "Image Recognition Tool" a few days, I think you could improve it :
> by adding the dimensional constraints in front of each of the pre-trained models,
> by adding a true tool to divide the training data correctly (in order to have an equivalent number of images for each of the labels)
> at least, allow the tool to use black & white images (I wanted to test it on the MNIST, but the tool tells me that it necessarily needs RGB images) ?
Question : do you in the future allow the user to choose between CPU or GPU usage ?
In any case, thank you again for this new tool, it is certainly perfectible, but very simple to use, and I sincerely think that it will allow a greater number of people to understand the many use cases made possible thanks to image recognition.
Thank you again
Kévin VANCAPPEL (France ;-))
Thank you again.
Kévin VANCAPPEL
The Optimize tool is a very useful capability - and if we could improve the error messaging then it would be much more approachable for users to learn and make use of.
For example - the error message in the attached image - could we please update this to provide information about what went wrong, and how to fix it?
Many thanks
Currently the simulation sampling tool doesn't accept model objects from time series tools as a model input. It would be beneficial if it could so one could run simulations from Time series output (or a new tool is built to offer this functionality)
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