
Learning Deep Learning
Theory and Practice of Neural Networks, Computer Vision, Natural Language Processing, and Transformers Using TensorFlow
$180.90
- Paperback
752 pages
- Release Date
4 October 2021
Summary
Deep learning (DL) is a key component of today’s exciting advances in machine learning and artificial intelligence. Learning Deep Learning is a complete guide to DL. Illuminating both the core concepts and the hands-on programming techniques needed to succeed, this book is ideal for developers, data scientists, analysts, and others–including those with no prior machine learning or statistics experience.
After introducing the essential building blocks of deep neural networks, …
Book Details
| ISBN-13: | 9780137470358 |
|---|---|
| ISBN-10: | 0137470355 |
| Author: | Magnus Ekman |
| Publisher: | Pearson Education (US) |
| Imprint: | Addison Wesley |
| Format: | Paperback |
| Number of Pages: | 752 |
| Release Date: | 4 October 2021 |
| Weight: | 1.10kg |
| Dimensions: | 230mm x 188mm x 32mm |
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About The Author
Magnus Ekman
Magnus Ekman, Ph.D., is a director of architecture at NVIDIA Corporation. His doctorate is in computer engineering, and he is the inventor of multiple patents. He previously worked with processor design and R&D at Sun Microsystems and Samsung Research America, and has been involved in starting two companies, one of which (Skout) was later acquired by The Meet Group, Inc. In his current role at NVIDIA, he leads an engineering team working on CPU performance and power efficiency for system on chips targeting the autonomous vehicle market.
As the Deep Learning (DL) field exploded the past few years, fueled by NVIDIA’s GPU technology and CUDA, Dr. Ekman found himself in the middle of a company expanding beyond computer graphics into becoming a deep learning (DL) powerhouse. As a part of that journey, he challenged himself to stay up-to-date with the most recent developments in the field. He considers himself to be an educator, and in the process of writing Learning Deep Learning, he partnered with the NVIDIA Deep Learning Institute (DLI), which offers hands-on training in AI, accelerated computing, and accelerated data science.
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