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Attributes of Learning Deep Learning PDF
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. Learning Deep Learning pdf
After introducing the essential building blocks of deep neural networks, such as artificial neurons and fully connected, convolutional, and recurrent layers, Magnus Ekman shows how to use them to build advanced architectures, including the Transformer. He describes how these concepts are used to build modern networks for computer vision and natural language processing (NLP), including Mask R-CNN, GPT, and BERT. And he explains how a natural language translator and a system generating natural language descriptions of images.
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Illustrations of Learning Deep Learning PDF
Of all the books out there Learning Deep Learning pdf is one of the most worthy and praised book for the subject of engineering and transportation as is recommended by all the leading engineers and professional transporters around the world who so highly recommend to read this book at-least once a lifetime for anyone who aspires to be a part of these professions. It has all the indispensable and non-essential ingredients an aspirant or student would want to have for themselves and is a must download for all.
The Writers
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 was first exposed to artificial neural networks in the late nineties in his native country, Sweden. After some dabbling in evolutionary computation, he ended up focusing on computer architecture and relocated to Silicon Valley, where he lives with his wife Jennifer, children Sebastian and Sofia, and dog Babette. 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.
Proportions of Learning Deep Learning PDF
- Language : English
- Paperback : 752 pages
- International Standard Book Number-10 : 0137470355
- International Standard Book Number-13 : 978-0137470358
- Item Weight : 2.43 pounds
- Dimensions : 7.3 x 1.1 x 9 inches
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