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Více informací o knize Computational Methods for Deep Learning

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Anotace knihy

The first edition of this textbook was published in 2021. Over the past two years, we have invested in enhancing all aspects of deep learning methods to ensure the book is comprehensive and impeccable. Taking into account feedback from our readers and audience, the author has diligently updated this book. The second edition of this textbook presents control theory, transformer models, and graph neural networks (GNN) in deep learning. We have incorporated the latest algorithmic advances and large-scale deep learning models, such as GPTs, to align with the current research trends. Through the second edition, this book showcases how computational methods in deep learning serve as a dynamic driving force in this era of artificial intelligence (AI).  This book is intended for research students, engineers, as well as computer scientists with interest in computational methods in deep learning. Furthermore, it is also well-suited for researchers exploring topics such as machine intelligence, robotic control, and related areas.

Parametry knihy

Zařazení knihy Knihy v angličtině Computing & information technology Computer science Artificial intelligence

• Plný název: Computational Methods for Deep Learning
• Podnázev: Theory, Algorithms, and Implementations
• Autor: Wei Qi Yan
• Jazyk: Angličtina
• Vazba: Pevná
• Počet stran: 244
• EAN: 9789819948222
• ID: 43680687
• Nakladatelství: Springer, Berlin
• Hmotnost: 516 g
• Rozměry: 235 × 155 mm
• Datum vydání: 30. September 2023

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