computational intelligence connective cognition (15 résultats)

Etat : New.

Etat : New.

Etat : As New. Unread book in perfect condition.

Etat : New.

Hardback. Etat : New. New copy - Usually dispatched within 4 working days.

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HRD. Etat : New. New Book. Shipped from UK. Established seller since 2000.

HRD. Etat : New. New Book. Shipped from UK. Established seller since 2000.

Etat : New.

Etat : New.

Hardcover. Etat : Brand New. 256 pages. 9.18x6.12x9.45 inches. In Stock.

Hardcover. Etat : new. Hardcover. This book explores deep learning architectures such as convolutional neural networks and recurrent neural networks for tasks like image analysis, speech recognition, and natural language processing within network paradigms. It uses machine learning algorithms such as neural networks, support vector machines, and decision trees for data analysis and prediction tasks.This book:Covers a wide range of topics within network paradigms, including intelligence modeling, sustainability, quantum computing, and network securityUtilizes various machine learning algorithms such as neural networks, support vector machines, and decision trees for data analysis, and prediction tasksAddresses contemporary issues like fake news detection, social media analysis, and cybersecurityEmploys network analysis techniques to understand the structure and dynamics of complex systems, including social networks, communication networks, and biological networksExplores the integration of quantum computing principles and algorithms to solve computational intelligence tasks efficiently, especially in quantum-based network paradigmsIt is primarily written for senior undergraduates, graduate students, and academic researchers in the fields including electrical engineering, electronics and communications engineering, computer engineering, and information technology. This book explores deep learning architectures such as convolutional neural networks and recurrent neural networks for tasks like image analysis, speech recognition, and natural language processing within network paradigms. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardcover. Etat : new. Hardcover. This book explores deep learning architectures such as convolutional neural networks and recurrent neural networks for tasks like image analysis, speech recognition, and natural language processing within network paradigms. It uses machine learning algorithms such as neural networks, support vector machines, and decision trees for data analysis and prediction tasks.This book:Covers a wide range of topics within network paradigms, including intelligence modeling, sustainability, quantum computing, and network securityUtilizes various machine learning algorithms such as neural networks, support vector machines, and decision trees for data analysis, and prediction tasksAddresses contemporary issues like fake news detection, social media analysis, and cybersecurityEmploys network analysis techniques to understand the structure and dynamics of complex systems, including social networks, communication networks, and biological networksExplores the integration of quantum computing principles and algorithms to solve computational intelligence tasks efficiently, especially in quantum-based network paradigmsIt is primarily written for senior undergraduates, graduate students, and academic researchers in the fields including electrical engineering, electronics and communications engineering, computer engineering, and information technology. This book explores deep learning architectures such as convolutional neural networks and recurrent neural networks for tasks like image analysis, speech recognition, and natural language processing within network paradigms. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Hardcover. Etat : new. Hardcover. This book explores deep learning architectures such as convolutional neural networks and recurrent neural networks for tasks like image analysis, speech recognition, and natural language processing within network paradigms. It uses machine learning algorithms such as neural networks, support vector machines, and decision trees for data analysis and prediction tasks.This book:Covers a wide range of topics within network paradigms, including intelligence modeling, sustainability, quantum computing, and network securityUtilizes various machine learning algorithms such as neural networks, support vector machines, and decision trees for data analysis, and prediction tasksAddresses contemporary issues like fake news detection, social media analysis, and cybersecurityEmploys network analysis techniques to understand the structure and dynamics of complex systems, including social networks, communication networks, and biological networksExplores the integration of quantum computing principles and algorithms to solve computational intelligence tasks efficiently, especially in quantum-based network paradigmsIt is primarily written for senior undergraduates, graduate students, and academic researchers in the fields including electrical engineering, electronics and communications engineering, computer engineering, and information technology. This book explores deep learning architectures such as convolutional neural networks and recurrent neural networks for tasks like image analysis, speech recognition, and natural language processing within network paradigms. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Buch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book explores deep learning architectures such as convolutional neural networks and recurrent neural networks for tasks like image analysis, speech recognition, and natural language processing within network paradigms.