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Any suggestions are welcome? Even the technical ones.
Thank you in advance!
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Does Machine learning models often needed to be compressed to run on MCUs.?
You are welcome to answer with (Yes, or No) with a good explanation.
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Guys who use wix navigation, can you explain when it is better to use Navigation.setStackRoot(), what is its advantage over regular Navigation.setRoot()
setRoot is used to change the whole layout of your app.
setStackRoot is used to reset a single stack
For more details check the documentation:
https://wix.github.io/react-native-navigation/#/docs/screen-api
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Is clarifai's approach to image detection capable / suitable for recognizing brand logos in images or will I have to use different approaches for that purpose?
Yeah, give it try here: https://demo.clarifai.com/?models=brandlogos-v0.2&probabilityThreshold=0.1&showProbability=1
Documentation at https://developer.clarifai.com/guide/tag#models - the model name is brandlogos-v0.2
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I am trying to understand the uses of both. Already I have seen stuff on the SmalltalkHub doesn't often build on Squeak but always seems to work with Pharo. What are the advantages now in 2014 to choose Squeak and not Pharo?
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What are the most common exploits in XSS (in Java) and can you show and example of each please?
Thank you
Try read this article, it should help you a lot!
Greg Murray's Article