NVIDIAs FullColor Guide to Deep Learning All You Need to Get Started and Get Results "To enable everyone to be part of this historic revolution requires the democratization of AI knowledge and resources. This book is timely and relevant towards accomplishing these lofty goals." From the foreword by Dr. Anima Anandkumar, Bren Professor, Caltech, and Director of ML Research, NVIDIA "Ekman uses a learning technique that in our experience has proven pivotal to successasking the reader to think about using DL techniques in practice. His straightforward approach is refreshing, and he permits the reader to dream, just a bit, about where DL may yet take us." From the foreword by Dr. Craig Clawson, Director, NVIDIA Deep Learning Institute Deep learning (DL) is a key component of todays exciting advances in machine learning and artificial intelligence.Learning Deep Learningis a complete guide to DL. Illuminating both the core concepts and the handson programming techniques needed to succeed, this book is ideal for developers, data scientists, analysts, and othersincluding those with no prior machine learning or statistics experience.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...

Binding: Paperback;752 pages; Publisher: Pearson Education (US); Classification: UMX; Weight: 1354 g; Dimensions: 189 x 230 x 32

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