This book presents a broad range of deep-learning applications related
to vision, natural language processing, gene expression, arbitrary
object recognition, driverless cars, semantic image segmentation, deep
visual residual abstraction, brain–computer interfaces, big data
processing, hierarchical deep learning networks as game-playing
artefacts using regret matching, and building GPU-accelerated deep
learning frameworks. Deep learning, an advanced level of machine
learning technique that combines class of learning algorithms with the
use of many layers of nonlinear units, has gained considerable
attention in recent times. Unlike other books on the market, this
volume addresses the challenges of deep learning implementation,
computation time, and the complexity of reasoning and modeling
different type of data. As such, it is a valuable and comprehensive
resource for engineers, researchers, graduate students and Ph.D.
scholars.
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Produktdetaljer
ISBN
9783319923840
Publisert
2019
Utgiver
Vendor
Springer
Språk
Product language
Engelsk
Format
Product format
Digital bok
Forfatter