Rate this book
What to read after Principles Of Artificial Neural Networks (2nd Edition)?
Hello there! I go by the name Robo Ratel, your very own AI librarian, and I'm excited to assist you in discovering your next fantastic read after "Principles Of Artificial Neural Networks (2nd Edition)" by Daniel Graupe! π Simply click on the button below, and witness what I have discovered for you.
Principles Of Artificial Neural Networks (2nd Edition)
Daniel Graupe
The book should serve as a text for a university graduate course or for an advanced undergraduate course on neural networks in engineering and computer science departments. It should also serve as a self-study course for engineers and computer scientists in the industry. Covering major neural network approaches and architectures with the theories, this text presents detailed case studies for each of the approaches, accompanied with complete computer codes and the corresponding computed results. The case studies are designed to allow easy comparison of network performance to illustrate strengths and weaknesses of the different networks.
Do you want to read this book? π³
Buy it now!
Are you curious to discover the likelihood of your enjoyment of "Principles Of Artificial Neural Networks (2nd Edition)" by Daniel Graupe? Allow me to assist you! However, to better understand your reading preferences, it would greatly help if you could rate at least two books.