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Learn the theory and practice of building deep neural networks with real-life image and sequence data.
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Apply mathematical and statistical operations to vectors and matrices.
Improve the robustness, flexibility, and efficiency of your MATLAB code.
Learn how to perform model-based systems engineering by creating simulatable architecture models using System Composer.
Get started quickly with the basics of feedback control design in Simulink.
Learn the basics of practical machine learning methods for classification problems.
Use MATLAB ODE solvers to numerically solve ordinary differential equations.
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