LabVIEW deep reinforcement learning is upcoming !!!

We are pleased to announce the upcoming arrival of reinforcement learning on HAIBAL, the LabVIEW deep learning toolkit by Graiphic!
Maximize LabVIEW's potential with the HAIBAL toolkit, which is part of the comprehensive Graiphic 365 suite, and transform your research and industry endeavors. With our effortless all-in-one installer, GIM, seamlessly integrate HAIBAL and unlock limitless possibilities for advanced deep learning applications. Simplify complex tasks, elevate accuracy, and propel your projects to new heights with the entire Graiphic 365 suite. Discover the future of research and industry with HAIBAL and Graiphic 365. Get started today and unleash innovation with ease.
Seriously, this toolkit is a game-changer. 😎
Stay tuned as we continue to push the boundaries of deep learning and revolutionize the field. The future of deep learning with HAIBAL and LabVIEW has never been more promising.
Our journey began two years ago with our very first convolution test in July 2021.
At that time, there were no viable alternatives to Keras, TensorFlow, or PyTorch on LabVIEW for deep learning. Whereas we could have used these frameworks using a simple 𝗟𝗮𝗯𝗩𝗜𝗘𝗪 Python node.
For us, it was not a reasonable way because if 𝗟𝗮𝗯𝗩𝗜𝗘𝗪 is really a disruptive tool, it cannot not have its deep learning environment.
In all humility and admiration, we therefore embarked on the audacious project of studying Keras, mastering its use by dissecting it, and designing a project architecture within 𝗟𝗮𝗯𝗩𝗜𝗘𝗪. We've meticulously crafted every layer, optimizer, and metric, allowing for the seamless creation of models, whether sequential or functional.
👉🏼 Download
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👉🏼 Get started with HAIBAL deep learning toolkit
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HAIBAL, the LabVIEW deep learning toolkit by Graiphic Technologies de France (TDF) Graiphic NI (National Instruments) Emerson