10% de desconto

Practical Matlab Deep Learning eBook

A Project-Based Approach

de Michael Paluszek e Stephanie Thomas
idioma: inglês
Editor: Apress, fevereiro de 2020 ‧
39,74€
10% DESCONTO CARTÃO
DISPONIBILIDADE IMEDIATA
Ebook para ADE
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''ll learn to model complex systems, including the stock market, natural language, and angles-only orbit determination. You’ll cover dynamics and control, and integrate deep-learning algorithms and approaches using MATLAB. You''ll also apply deep learning to aircraft navigation using images.  

Finally, you''ll carry out classification of ballet pirouettes using an inertial measurement unit to experiment with MATLAB''s hardware capabilities.  


What You Will Learn
  • Explore deep learning using MATLAB and compare it to algorithms
  • Write a deep learning function in MATLAB and train it with examples
  • Use MATLAB toolboxes related to deep learning
  • Implement tokamak disruption prediction
Who This Book Is For 

Engineers, data scientists, and students wanting a book rich in examples on deep learning using MATLAB.

Practical Matlab Deep Learning

A Project-Based Approach

de Michael Paluszek e Stephanie Thomas

Propriedade Descrição
ISBN: 9781484251249
Editor: Apress
Data de Lançamento: fevereiro de 2020
Idioma: Inglês
Tipo de produto: eBook
Formato e Compatibilidade:
Coleção: Professional And Applied Computing
Classificação Temática: eBooks em Inglês > Ciências Exatas e Naturais > Matemática
eBooks em Inglês > Informática > Outras Aplicações
EAN: 9781484251249
Acessibilidade: Ver características de acessibilidade indicadas pelo editor