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PRIN ART NEURAL NETWORK (4TH ED)

PRIN ART NEURAL NETWORK (4TH ED)

Principles of Artificial Neural Networks

DANIEL GRAUPE / GRAUPE DANIEL

186,06 €
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Editorial:
World Scientific Publishing Co Pte Ltd
Año de edición:
2019
Materia
Inteligencia artificial
ISBN:
9789811201226

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Sobre IBD

 The field of Artificial Neural Networks is the fastest growing field in Information Technology and specifically, in Artificial Intelligence and Machine Learning.This must-have compendium presents the theory and case studies of artificial neural networks. The volume, with 4 new chapters, updates the earlier edition by highlighting recent developments in Deep-Learning Neural Networks, which are the recent leading approaches to neural networks. Uniquely, the book also includes case studies of applications of neural networks — demonstrating how such case studies are designed, executed and how their results are obtained.The title is written for a one-semester graduate or senior-level undergraduate course on artificial neural networks. It is also intended to be a self-study and a reference text for scientists, engineers and for researchers in medicine, finance and data mining.

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Otros libros del autor

  • DEEP LEARNING NEURAL NETWORKS
    DANIEL GRAUPE / GRAUPE DANIEL
    Deep Learning Neural Networks is the fastest growing field in machine learning. It serves as a powerful computational tool for solving prediction, decision, diagnosis, detection and decision problems based on a well-defined computational architecture. It has been successfully applied to a broad field of applications ranging from computer security, speech recognition, image and ...
  • DEEP LEARNING NEURAL NETWORKS
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    Deep Learning Neural Networks is the fastest growing field in machine learning. It serves as a powerful computational tool for solving prediction, decision, diagnosis, detection and decision problems based on a well-defined computational architecture. It has been successfully applied to a broad field of applications ranging from computer security, speech recognition, image and ...
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