Dive into Deep Learning

Häftad, Engelska, 2023

344 kr

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2023-12-07
Mått:202 x 250 x 26 mm
Vikt:1 385 g
Format:Häftad
Språk:Engelska
Antal sidor:574
Förlag:Cambridge University Press
ISBN:9781009389433

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Referensverk och tvärvetenskap inom Samhälle och politik
Databaser inom Data och IT

Mer om författaren

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.

Recensioner i media

'In less than a decade, the AI revolution has swept from research labs to broad industries to every corner of our daily life. Dive into Deep Learning is an excellent text on deep learning and deserves attention from anyone who wants to learn why deep learning has ignited the AI revolution: the most powerful technology force of our time.' Jensen Huang, Founder and CEO, NVIDIA

Innehållsförteckning

Installation; Notation; 1. Introduction; 2. Preliminaries; 3. Linear neural networks for regression; 4. Linear neural networks for classification; 5. Multilayer perceptrons; 6. Builders guide; 7. Convolutional neural networks; 8. Modern convolutional neural networks; 9. Recurrent neural networks; 10. Modern recurrent neural networks; 11. Attention mechanisms and transformers; Appendix. Tools for deep learning; Bibliography; Index.