Dive into Deep Learning (Paperback)

Aston Zhang

ISBN 10: 1009389432 / ISBN 13: 9781009389433

Verlag: Cambridge University Press, Cambridge, 2023

Beschreibung

Paperback. Deep learning has revolutionized pattern recognition, introducing tools that power a wide range of technologies in such diverse elds as computer vision, natural language processing, and automatic speech recognition. Applying deep learning requires you to simultaneously understand how to cast a problem, the basic mathematics of modeling, the algorithms for tting your models to data, and the engineering techniques to implement it all. This book is a comprehensive resource that makes deep learning approachable, while still providing sufficient technical depth to enable engineers, scientists, and students to use deep learning in their own work. No previous background in machine learning or deep learning is requiredevery concept is explained from scratch and the appendix provides a refresher on the mathematics needed. Runnable code is featured throughout, allowing you to develop your own intuition by putting key ideas into practice. This approachable text teaches all the concepts, the context, and the code needed to understand deep learning. Suitable for students and professionals, the book doesn't require any previous background in machine learning or deep learning. Interactive examples feature throughout, with runnable code and executable Jupyter notebooks available online. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Bestandsnummer des Verkäufers 9781009389433

Bibliografische Details

Titel: Dive into Deep Learning (Paperback)

Verlag: Cambridge University Press, Cambridge

Erscheinungsdatum: 2023

Einband: Paperback

Zustand: new

Über diesen Titel

Inhaltsangabe:

Deep learning has revolutionized pattern recognition, introducing tools that power a wide range of technologies in such diverse fields as computer vision, natural language processing, and automatic speech recognition. Applying deep learning requires you to simultaneously understand how to cast a problem, the basic mathematics of modeling, the algorithms for fitting your models to data, and the engineering techniques to implement it all. This book is a comprehensive resource that makes deep learning approachable, while still providing sufficient technical depth to enable engineers, scientists, and students to use deep learning in their own work. No previous background in machine learning or deep learning is required―every concept is explained from scratch and the appendix provides a refresher on the mathematics needed. Runnable code is featured throughout, allowing you to develop your own intuition by putting key ideas into practice.

Über die Autorinnen und Autoren:

Aston Zhang is Senior Scientist at Amazon Web Services.

Zachary C. Lipton is Assistant Professor of Machine Learning and Operations Research at Carnegie Mellon University.

Mu Li is Senior Principal Scientist at Amazon Web Services.

Alexander J. Smola is VP/Distinguished Scientist for Machine Learning at Amazon Web Services.