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Sinopsis
This book aims to bridge the gap between theoretical deep learning concepts and their practical implementation. It provides a comprehensive guide for individuals and organizations looking to leverage deep learning for real-world problems.
Here are the primary purposes of reading this book:
Practical Guidance: The book offers hands-on advice on how to build and deploy deep learning models in various domains, such as computer vision, natural language processing, and time series analysis.
Real-World Challenges: It addresses the challenges and limitations that arise when applying deep learning to real-world data, such as data quality issues, overfitting, and computational costs.
Case Studies: Through case studies, the book demonstrates how deep learning has been successfully applied to solve complex problems in different industries, providing valuable insights and inspiration.
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DEEP LEARNING FOR THE REAL WORLD : PRACTICAL APPLICATIONS AND CHALLENGES
Librería: Ria Christie Collections, Uxbridge, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Condición: New. In. Nº de ref. del artículo: ria9798895880302_new
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DEEP LEARNING FOR THE REAL WORLD : PRACTICAL APPLICATIONS AND CHALLENGES
Librería: California Books, Miami, FL, Estados Unidos de America
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Condición: New. Nº de ref. del artículo: I-9798895880302
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Deep Learning for the Real World : Practical Applications and Challenges
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Neuware - This book aims to bridge the gap between theoretical deep learning concepts and their practical implementation. It provides a comprehensive guide for individuals and organizations looking to leverage deep learning for real-world problems. Nº de ref. del artículo: 9798895880302
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Deep Learning for the Real World (Paperback)
Librería: CitiRetail, Stevenage, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: new. Paperback. This book aims to bridge the gap between theoretical deep learning concepts and their practical implementation. It provides a comprehensive guide for individuals and organizations looking to leverage deep learning for real-world problems.Here are the primary purposes of reading this book: Practical Guidance: The book offers hands-on advice on how to build and deploy deep learning models in various domains, such as computer vision, natural language processing, and time series analysis.Real-World Challenges: It addresses the challenges and limitations that arise when applying deep learning to real-world data, such as data quality issues, overfitting, and computational costs.Case Studies: Through case studies, the book demonstrates how deep learning has been successfully applied to solve complex problems in different industries, providing valuable insights and inspiration. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9798895880302
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Deep Learning for the Real World (Paperback)
Librería: AussieBookSeller, Truganina, VIC, Australia
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: new. Paperback. This book aims to bridge the gap between theoretical deep learning concepts and their practical implementation. It provides a comprehensive guide for individuals and organizations looking to leverage deep learning for real-world problems.Here are the primary purposes of reading this book: Practical Guidance: The book offers hands-on advice on how to build and deploy deep learning models in various domains, such as computer vision, natural language processing, and time series analysis.Real-World Challenges: It addresses the challenges and limitations that arise when applying deep learning to real-world data, such as data quality issues, overfitting, and computational costs.Case Studies: Through case studies, the book demonstrates how deep learning has been successfully applied to solve complex problems in different industries, providing valuable insights and inspiration. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Nº de ref. del artículo: 9798895880302
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Deep Learning for the Real World (Paperback)
Librería: Grand Eagle Retail, Mason, OH, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: new. Paperback. This book aims to bridge the gap between theoretical deep learning concepts and their practical implementation. It provides a comprehensive guide for individuals and organizations looking to leverage deep learning for real-world problems.Here are the primary purposes of reading this book: Practical Guidance: The book offers hands-on advice on how to build and deploy deep learning models in various domains, such as computer vision, natural language processing, and time series analysis.Real-World Challenges: It addresses the challenges and limitations that arise when applying deep learning to real-world data, such as data quality issues, overfitting, and computational costs.Case Studies: Through case studies, the book demonstrates how deep learning has been successfully applied to solve complex problems in different industries, providing valuable insights and inspiration. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9798895880302
Cantidad disponible: 1 disponibles