The Torch Deep Learning add-in for JMP® Pro is a no-code interface to the PyTorch library for predictive modeling with deep neural networks. The add-in lets you train and deploy predictive models that use image, text, or tabular features as inputs to predict binary, continuous, or nominal targets.
A helpful feature of the add-in is its storybook, which offers example starting points for finding solutions using Torch. Watch the video below to learn more.
You can also learn more about how the add-in works and how to use it in the Torch Deep Learning Add-In for JMP Pro guide.
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