[Zikun Yi]

Hello everyone,

I installed the SOTA Deep Learning Toolkit 2020SP1, but while learning on the official website, I noticed that I didn’t download the HAIBAL Deep Learning Toolkit. How can I download it, or can you provide a download link? I am also learning about the application of reinforcement learning in LabVIEW. Are there any related case studies or discussion forums?

Has anyone encountered a similar problem? Any insights or troubleshooting tips would be greatly appreciated.

Thank you in advance!

Topic

[Corentin Maravat]

Hi,

HAIBAL Deep Learning Toolkit no longer exists under that name — it was the former version of what is now called the Deep Learning Toolkit, which has been renamed and restructured. The new version works a bit differently and includes important improvements.

Please note that the documentation hasn’t yet been updated to reflect these changes, which may cause some confusion.

To get started, we recommend using the “Examples Base” VI, available directly from the toolkit palette in LabVIEW. This VI gives you access to several examples — especially the Get Started ones, which are a great entry point to understand how to build and execute a graph.

There is also a more advanced Reinforcement Learning example that showcases the full capabilities of the toolkit, but it may be harder to grasp at first.

More examples and a complete documentation update are coming soon.

Feel free to ask here if you need help getting started.

[Zikun Yi]

Thank you for your answer. The problem has been solved.

I would like to learn how DDPG is applied in LabVIEW. I have seen videos about related cases on YouTube, but I cannot find any relevant examples in the example library VI. Can you provide any relevant links or learning methods?

[Youssef MENJOUR]

Hi Zikun,

Thank you for your interest!

Just to give you some context, this project is quite massive, and we’re currently only three engineers working on the entire ecosystem of tools and toolkits. As a result, not everything has been released yet.

Right now, our top priority is documentation. We’re creating dedicated examples for every layer (about a hundred) and every ONNX node (roughly 200 nodes), which is a huge undertaking in itself. Once that is complete, we’ll progressively release our reinforcement learning algorithms, including DDPG in LabVIEW.

We expect to finalize the documentation by the end of this month. Once that’s done, we’ll be able to address your request more directly.

Thanks for your patience and support!

The Graiphic Team

[Author]

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