A rich, narrative explanation of the mathematics that has brought us machine learning and the ongoing explosion of artificial intelligenceMachine learning systems are making life-altering decisions for us: approving mortgage loans, det...Loe edasi...
In the rapidly evolving field of artificial intelligence, this book serves as a crucial resource for understanding the mathematical foundations of AI. It explores the intricate world of tensors, the fundamental elements powering todays advanced d...Loe edasi...
Provides a complete and concise overview of deep learning using the language of mathematics. Provides a self-contained background on machine learning and optimization algorithms, and progresses through the key ideas of deep learning. ...Loe edasi...
Mathematical Engineering of Deep Learning provides a complete and concise overview of deep learning using the language of mathematics. The book provides a self-contained background on machine learning and optimization algorithms, and progr...Loe edasi...
A rich, narrative explanation of the mathematics that has brought us machine learning and the ongoing explosion of artificial intelligenceMachine learning systems are making life-altering decisions for us: approving mortgage loans, det...Loe edasi...
Math and Architectures of Deep Learning sets out the foundations of DL usefully and accessibly to working practitioners.Math and Architectures of Deep Learning bridges the gap between theory and practice, laying out the m...Loe edasi...
(Ilmumisaeg: 05-Feb-2024, Paperback / softback, Kirjastus: Morgan Kaufmann Publishers In, ISBN-13: 9780443136979)
Many-Sorted Algebras for Deep Learning and Quantum Technology presents a precise and rigorousdescription of basic concepts in quantum technologies and how they relate to deep learning and quantum theory. Current merging of quantum theory a...Loe edasi...
Artificial Neural Networks (ANN) are incredibly successful subfield of artificial intelligence (AI). ANNs are everywhere and their introduction to the world is accelerating as new applications for ANNs are launched. No profession is exempt: medicine...Loe edasi...
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...Loe edasi...
(Ilmumisaeg: 27-Apr-2023, Paperback / softback, Kirjastus: De Gruyter, ISBN-13: 9783111024318)
The goal of this book is to provide a mathematical perspective on some key elements of the so-called deep neural networks (DNNs). Much of the interest in deep learning has focused on the implementation of DNN-based algorithms. Our hope is that thi...Loe edasi...
This book aims to be useful to (almost) everyone. Deep Learning and Scientific Computing with R Torch provides a thorough introduction to torch basics – both by carefully explaining underlying concepts and ideas, and showing enoug...Loe edasi...
torch is an R port of PyTorch, one of the two most-employed deep learning frameworks in industry and research. It is also an excellent tool to use in scientific computations. It is written entirely in R and C/C++.Though still young as a p...Loe edasi...
(Ilmumisaeg: 22-Dec-2022, Hardback, Kirjastus: Cambridge University Press, ISBN-13: 9781316516782)
In recent years the development of new classification and regression algorithms based on deep learning has led to a revolution in the fields of artificial intelligence, machine learning, and data analysis. The development of a theoretical foundation...Loe edasi...
