Practical MATLAB Deep Learning : A Project-Based Approach

Practical MATLAB Deep Learning A Project-Based Approach

Harness the power of MATLAB for deep-learning challenges. This book provides an introduction to deep learning and using MATLAB's deep-learning toolboxes. You’ll see how these toolboxes provide the complete set of functions needed to implement all aspects of deep learning. Along the way, you...

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Detalles Bibliográficos
Autores principales: Paluszek, Michael. author (author), Thomas, Stephanie. author
Formato: Libro electrónico
Idioma:Inglés
Publicado: Berkeley, CA : Apress 2020.
Edición:1st ed. 2020.
Materias:
MATLAB.
Programming languages (Electronic computers).
Artificial intelligence.
Computer input-output equipment.
Computer science—Mathematics.
Computer programming.
Programming Languages, Compilers, Interpreters.
Artificial Intelligence.
Hardware and Maker.
Mathematics of Computing.
Programming Techniques.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009631000506719
Tabla de Contenidos:
  • 1 What is Deep Learning?
  • 2 MATLAB Machine and Deep Learning Toolboxes
  • 3 Finding Circles with Deep Learning
  • 4 Classifying Movies
  • 5 Algorithmic Deep Learning
  • 6 Tokamak Disruption Detection
  • 7 Classifying a Pirouette
  • 8 Completing Sentences
  • 9 Terrain Based Navigation
  • 10 Stock Prediction
  • 11 Image Classification
  • 12 Orbit Determination.

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