AI Verification: Constrained Deep Learning

Version 1.0.2 (7.75 MB) by Antoni Woss
Constrained deep learning is an advanced approach to training deep neural networks by incorporating domain-specific constraints.
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Updated 11 Nov 2024
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Cite As

Antoni Woss (2024). AI Verification: Constrained Deep Learning (https://github.com/matlab-deep-learning/constrained-deep-learning), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2024a
Compatible with any release
Platform Compatibility
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examples/convex/classificationCIFAR10

examples/convex/neuralODE

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tests/unit/conslearn/convex

tests/unit/conslearn/convex/cnn

tests/unit/conslearn/layer

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tests/unit/conslearn/monotonic

tests/unit/patches/+conslearn/+convex/+cnn

examples/convex/classificationCIFAR10

examples/convex/introductory

examples/convex/neuralODE

examples/lipschitz/classificationDigits

examples/lipschitz/introductory

examples/monotonic/RULEstimateUsingMonotonicNetworks

examples/monotonic/introductory

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Version Published Release Notes
1.0.2

Updated File Exchange graphic.
1.0.1

Updated title in File Exchange.
1.0.0

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.