DOCS-3423: Add some feedback from Adrienne and redesign deploy.md based on Eliot's feedback for capture sync #3984
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sguequierre
commented
Feb 10, 2025
sguequierre
commented
- simplify docs and make easier to follow
- remove prerequisites of camera and webcam from train-tflite bc that would have come earlier in the process
…'s feedback for capture sync
sguequierre
commented
Feb 10, 2025
viambot
added
the
safe to build
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sguequierre
commented
Feb 10, 2025
| @@ -163,7 +126,7 @@ Once your model has finished training, you can test it. | |||
| Ideally, you want your ML model to be able to work with a high level of confidence. | |||
| As you test it, if you notice faulty predictions or confidence scores, you will need to adjust your dataset and retrain your model. | |||
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| If you trained a classification model, you can test it with the following instructions. | |||
| If you trained a _classification_ model, you can test it with the following instructions. | |||
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wanted to make this a little more obvious as adrienne missed it, can remove if think unnecessary
sguequierre
commented
Feb 10, 2025
docs/data-ai/ai/deploy.md
Outdated
| - You can [train TFlite](/data-ai/ai/train-tflite/) or [other model frameworks](/data-ai/ai/train/) on data from your machines. | ||
| - You can use [ML models](https://app.viam.com/registry?type=ML+Model) from the [Viam Registry](https://app.viam.com/registry). | ||
| - You can upload externally trained models from a model file on the [**MODELS** tab](https://app.viam.com/data/models) in the **DATA** section of the Viam app. | ||
| - You can use a [model](/data-ai/ai/deploy/#deploy-your-ml-model) trained outside the Viam platform whose files are on your machine. See the documentation of the model of ML model service you're using (pick one that supports your model framework) for instructions on this. |
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thought parenthesis could be useful for ppl that are just coming here as some might / ai might point them here. but wanted to hide this a bit at the bottom as it's more advanced use cases and eliot wants to simplify docs
sguequierre
commented
Feb 10, 2025
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| {{<resources_svc api="rdk:service:mlmodel" type="ML model">}} | ||
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| ### Model framework support | ||
| {{% expand "Want more information about model framework and hardware support for each ML model service? Click here." %}} |
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thought it was basically like we were restating the same thing twice here
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but we still need this info
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