Constrained deep learning is an advanced approach to training deep neural networks by incorporating domain-specific constraints into the learning process.
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Updated
Mar 27, 2024 - MATLAB
Constrained deep learning is an advanced approach to training deep neural networks by incorporating domain-specific constraints into the learning process.
This is a repository for my Diploma Thesis on Wireless Communications at Aristotle University of Thessaloniki
An example code for robust model predictive control using tube
Solving a convex problem with affine equality constrains with CVX and Newton algorithm
Learning second order dynamical system
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