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NI has recently ๐๐๐ญ๐ข๐ฏ๐๐ญ๐๐ ๐จ๐ฎ๐ซ ๐ฅ๐ข๐๐๐ง๐ฌ๐ ๐ค๐๐ฒ ๐ฌ๐๐ซ๐ฏ๐๐ซ. ๐
We will start distributing your credentials and licenses in the next few days so that you can continue to use ๐๐๐๐๐๐. ๐
We still have a lot of things to do in the next weeks, our priority will be the publication of ๐ซ๐๐๐ง๐๐จ๐ซ๐๐๐ฆ๐๐ง๐ญ ๐ฅ๐๐๐ซ๐ง๐ข๐ง๐ examples and the arrival of more “talking” examples like ๐๐๐๐ V5, V6, V7, V8.
There will also be full LabVIEW 32/64 bits compatibility. (CPU is already finished and will be released this week).
๐๐๐ซ๐๐ฌ and ๐๐ฒ๐ญ๐จ๐ซ๐๐ก model import tool that will give you access to thousands of models.
Full implementation of ๐๐ฉ๐๐ง๐๐ (our VISION killer). Our philosophy being a package, this will allow you thanks to ๐๐๐๐๐๐ to do without additional modules.
The ๐จ๐ฉ๐ญ๐ข๐ฆ๐ข๐ณ๐๐ญ๐ข๐จ๐ง ๐จ๐ ๐จ๐ฎ๐ซ ๐๐จ๐๐๐ฌ and the acceleration of inferences will also be a top priority to allow you the best Deep Learning experience.
There will ๐ง๐จ๐ญ ๐๐ ๐ ๐๐ ๐๐๐๐๐๐๐๐ ๐ ๐๐๐ ๐ฏ๐๐ซ๐ฌ๐ข๐จ๐ง because we believe that the hardware proposed today by NI is not adapted.
On the other hand, about the hardware, we are strongly interested in the ๐๐๐ฏ๐๐ฅ๐จ๐ฉ๐ฆ๐๐ง๐ญ ๐จ๐ ๐๐ง ๐๐ง๐ญ๐๐ฅ ๐๐ง๐ ๐๐ข๐ฅ๐ข๐ง๐ฑ ๐๐จ๐ฆ๐ฉ๐ข๐ฅ๐๐ซ to be able to use our code directly on their FPGA.For students we are thinking about a licensing system adapted to your budget (the question is not yet decided internally). ๐งโ๐
Our goals are ambitious but not impossible and we will make
๐๐๐๐๐๐๐ the ultimate deep learning tool.Thank you for your support, it gives us a boost and makes us want to do even more. ๐ค
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