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Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
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Deep Learning - Research and Applications (Hardcover)
Loot Price: R4,175
Discovery Miles 41 750
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Deep Learning - Research and Applications (Hardcover)
Series: De Gruyter Frontiers in Computational Intelligence
Expected to ship within 12 - 17 working days
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This book focuses on the fundamentals of deep learning along with
reporting on the current state-of-art research on deep learning. In
addition, it provides an insight of deep neural networks in action
with illustrative coding examples. Deep learning is a new area of
machine learning research which has been introduced with the
objective of moving ML closer to one of its original goals, i.e.
artificial intelligence. Deep learning was developed as an ML
approach to deal with complex input-output mappings. While
traditional methods successfully solve problems where final value
is a simple function of input data, deep learning techniques are
able to capture composite relations between non-immediately related
fields, for example between air pressure recordings and English
words, millions of pixels and textual description, brand-related
news and future stock prices and almost all real world problems.
Deep learning is a class of nature inspired machine learning
algorithms that uses a cascade of multiple layers of nonlinear
processing units for feature extraction and transformation. Each
successive layer uses the output from the previous layer as input.
The learning may be supervised (e.g. classification) and/or
unsupervised (e.g. pattern analysis) manners. These algorithms
learn multiple levels of representations that correspond to
different levels of abstraction by resorting to some form of
gradient descent for training via backpropagation. Layers that have
been used in deep learning include hidden layers of an artificial
neural network and sets of propositional formulas. They may also
include latent variables organized layer-wise in deep generative
models such as the nodes in deep belief networks and deep boltzmann
machines. Deep learning is part of state-of-the-art systems in
various disciplines, particularly computer vision, automatic speech
recognition (ASR) and human action recognition.
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