Youssef Menjour Posted January 27, 2023 Report Share Posted January 27, 2023 (edited) After several announcements and postpone, it's finally here ! Two years of hard development we have succeeded in releasing HAIBAL the deep learning toolkit for LabVIEW. This toolkit represents more than 4000 VI and we are aware that there are still many things to develop. Our ambition is to bring a part of the "classic" community of scientific data developers to the LabVIEW language (and why not!). We still have a lot of things to do in the next weeks, our priority will be the publication of 𝐫𝐞𝐢𝐧𝐟𝐨𝐫𝐜𝐞𝐦𝐞𝐧𝐭 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠 examples and the arrival of more "talking" examples like 𝐘𝐎𝐋𝐎 V5, V6, V7, V8. 𝐊𝐞𝐫𝐚𝐬 and 𝐏𝐲𝐭𝐨𝐫𝐜𝐡 model import tool that will give you access to thousands of models. The 𝐨𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧 𝐨𝐟 𝐨𝐮𝐫 𝐜𝐨𝐝𝐞𝐬 and the acceleration of inferences will also be a top priority to allow you the best Deep Learning experience. For students we are thinking about a licensing system adapted to your budget (the question is not yet decided internally). 🧑🎓 Our goals are ambitious but not impossible and we will make 𝐋𝐚𝐛𝐕𝐈𝐄𝐖 the ultimate deep learning tool. It is now available for download on the website here Get started with 𝐇𝐀𝐈𝐁𝐀𝐋, the 𝐋𝐚𝐛𝐕𝐈𝐄𝐖 𝐝𝐞𝐞𝐩 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐭𝐨𝐨𝐥𝐤𝐢𝐭 by following our new quick beginner tutorial section, to learn how to design, summarize, run, train, size data, and tune parameters with a simple DNN (Dense neural network) model. 🐘 👉🏼 Get started full playlist available on our 𝐲𝐨𝐮𝐭𝐮𝐛𝐞 𝐜𝐡𝐚𝐧𝐧𝐞𝐥 https://www.youtube.com/@graiphic/ 👉🏼 Get started with HAIBAL deep learning toolkit (𝐰𝐞𝐛𝐬𝐢𝐭𝐞 𝐝𝐨𝐜𝐮𝐦𝐞𝐧𝐭𝐢𝐨𝐧) https://lnkd.in/e6cPn4Fq Thank you for your support, it gives us a boost and makes us want to do even more. 🤠 Edited August 7, 2023 by Youssef Menjour 1 Quote Link to comment
Recommended Posts
Join the conversation
You can post now and register later. If you have an account, sign in now to post with your account.