JesusAlfonsoLopez/Libro_Deep_Learning_Teoria_Aplicaciones
Código del libro Deep Learning Teoría y aplicaciones
This project provides the companion code for the book 'Deep Learning Teoría y Aplicaciones'. It helps practitioners understand and apply deep learning concepts by providing practical examples. You input deep learning problems and get executable code demonstrations, which are primarily built using Matlab with its Deep Learning Toolbox, and some examples also incorporate Arduino. This is intended for professionals and students learning or applying deep learning in fields like engineering, data science, or research.
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Use this if you are reading 'Deep Learning Teoría y Aplicaciones' and want to run the code examples to reinforce your understanding and learn practical implementations.
Not ideal if you are looking for a standalone deep learning library or a project not tied to the specific examples and software (Matlab, Arduino) used in this textbook.
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MATLAB
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Jul 28, 2021
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