Learning Deep Learning
by Magnus Ekman
Published: 1/1/2022
Why read?
Learning Deep Learning is a comprehensive guide to the field of deep learning, covering topics like neural networks, convolutional networks, recurrent networks, and reinforcement learning. The book provides a hands-on approach to learning deep learning concepts, with practical examples and exercises to reinforce key ideas. Ekman explains the theory behind deep learning algorithms and their applications in various domains, such as computer vision, natural language processing, and robotics. By sharing insights from his experience as a machine learning researcher, Ekman equips readers with the knowledge and skills to build and deploy deep learning models for real-world projects.
Recommended by:
- Andrew Ng
- Yann LeCun
- Geoffrey Hinton
Pages
400 pages
Language
English
ISBN
978-0137470358
ASIN
0137470355